Fidelity assessment of Real-Time Hybrid Substructuring based on convergence and extrapolation
High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad a...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Insam, Christina [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: Species loss from land use of oil palm plantations in Thailand - Jaroenkietkajorn, Ukrit ELSEVIER, 2021, mssp, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:175 ; year:2022 ; day:1 ; month:08 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ymssp.2022.109135 |
|---|
| Katalog-ID: |
ELV05748824X |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV05748824X | ||
| 003 | DE-627 | ||
| 005 | 20230626045215.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 220808s2022 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.ymssp.2022.109135 |2 doi | |
| 028 | 5 | 2 | |a /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001748.pica |
| 035 | |a (DE-627)ELV05748824X | ||
| 035 | |a (ELSEVIER)S0888-3270(22)00296-5 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 570 |a 630 |q VZ |
| 084 | |a BIODIV |q DE-30 |2 fid | ||
| 100 | 1 | |a Insam, Christina |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Fidelity assessment of Real-Time Hybrid Substructuring based on convergence and extrapolation |
| 264 | 1 | |c 2022transfer abstract | |
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems. | ||
| 520 | |a High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems. | ||
| 650 | 7 | |a Real-Time Hybrid Substructuring |2 Elsevier | |
| 650 | 7 | |a Real-time hybrid simulation |2 Elsevier | |
| 650 | 7 | |a Hardware-in-the-loop testing |2 Elsevier | |
| 650 | 7 | |a Fidelity assessment |2 Elsevier | |
| 650 | 7 | |a Accuracy measure |2 Elsevier | |
| 700 | 1 | |a Rixen, Daniel J. |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier |a Jaroenkietkajorn, Ukrit ELSEVIER |t Species loss from land use of oil palm plantations in Thailand |d 2021 |d mssp |g Amsterdam [u.a.] |w (DE-627)ELV007151810 |
| 773 | 1 | 8 | |g volume:175 |g year:2022 |g day:1 |g month:08 |g pages:0 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.ymssp.2022.109135 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 912 | |a FID-BIODIV | ||
| 912 | |a SSG-OLC-PHA | ||
| 951 | |a AR | ||
| 952 | |d 175 |j 2022 |b 1 |c 0801 |h 0 | ||
| author_variant |
c i ci |
|---|---|
| matchkey_str |
insamchristinarixendanielj:2022----:ieiysesetfelieyrdusrcuigaeocne |
| hierarchy_sort_str |
2022transfer abstract |
| publishDate |
2022 |
| allfields |
10.1016/j.ymssp.2022.109135 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001748.pica (DE-627)ELV05748824X (ELSEVIER)S0888-3270(22)00296-5 DE-627 ger DE-627 rakwb eng 570 630 VZ BIODIV DE-30 fid Insam, Christina verfasserin aut Fidelity assessment of Real-Time Hybrid Substructuring based on convergence and extrapolation 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems. High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems. Real-Time Hybrid Substructuring Elsevier Real-time hybrid simulation Elsevier Hardware-in-the-loop testing Elsevier Fidelity assessment Elsevier Accuracy measure Elsevier Rixen, Daniel J. oth Enthalten in Elsevier Jaroenkietkajorn, Ukrit ELSEVIER Species loss from land use of oil palm plantations in Thailand 2021 mssp Amsterdam [u.a.] (DE-627)ELV007151810 volume:175 year:2022 day:1 month:08 pages:0 https://doi.org/10.1016/j.ymssp.2022.109135 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA AR 175 2022 1 0801 0 |
| spelling |
10.1016/j.ymssp.2022.109135 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001748.pica (DE-627)ELV05748824X (ELSEVIER)S0888-3270(22)00296-5 DE-627 ger DE-627 rakwb eng 570 630 VZ BIODIV DE-30 fid Insam, Christina verfasserin aut Fidelity assessment of Real-Time Hybrid Substructuring based on convergence and extrapolation 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems. High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems. Real-Time Hybrid Substructuring Elsevier Real-time hybrid simulation Elsevier Hardware-in-the-loop testing Elsevier Fidelity assessment Elsevier Accuracy measure Elsevier Rixen, Daniel J. oth Enthalten in Elsevier Jaroenkietkajorn, Ukrit ELSEVIER Species loss from land use of oil palm plantations in Thailand 2021 mssp Amsterdam [u.a.] (DE-627)ELV007151810 volume:175 year:2022 day:1 month:08 pages:0 https://doi.org/10.1016/j.ymssp.2022.109135 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA AR 175 2022 1 0801 0 |
| allfields_unstemmed |
10.1016/j.ymssp.2022.109135 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001748.pica (DE-627)ELV05748824X (ELSEVIER)S0888-3270(22)00296-5 DE-627 ger DE-627 rakwb eng 570 630 VZ BIODIV DE-30 fid Insam, Christina verfasserin aut Fidelity assessment of Real-Time Hybrid Substructuring based on convergence and extrapolation 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems. High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems. Real-Time Hybrid Substructuring Elsevier Real-time hybrid simulation Elsevier Hardware-in-the-loop testing Elsevier Fidelity assessment Elsevier Accuracy measure Elsevier Rixen, Daniel J. oth Enthalten in Elsevier Jaroenkietkajorn, Ukrit ELSEVIER Species loss from land use of oil palm plantations in Thailand 2021 mssp Amsterdam [u.a.] (DE-627)ELV007151810 volume:175 year:2022 day:1 month:08 pages:0 https://doi.org/10.1016/j.ymssp.2022.109135 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA AR 175 2022 1 0801 0 |
| allfieldsGer |
10.1016/j.ymssp.2022.109135 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001748.pica (DE-627)ELV05748824X (ELSEVIER)S0888-3270(22)00296-5 DE-627 ger DE-627 rakwb eng 570 630 VZ BIODIV DE-30 fid Insam, Christina verfasserin aut Fidelity assessment of Real-Time Hybrid Substructuring based on convergence and extrapolation 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems. High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems. Real-Time Hybrid Substructuring Elsevier Real-time hybrid simulation Elsevier Hardware-in-the-loop testing Elsevier Fidelity assessment Elsevier Accuracy measure Elsevier Rixen, Daniel J. oth Enthalten in Elsevier Jaroenkietkajorn, Ukrit ELSEVIER Species loss from land use of oil palm plantations in Thailand 2021 mssp Amsterdam [u.a.] (DE-627)ELV007151810 volume:175 year:2022 day:1 month:08 pages:0 https://doi.org/10.1016/j.ymssp.2022.109135 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA AR 175 2022 1 0801 0 |
| allfieldsSound |
10.1016/j.ymssp.2022.109135 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001748.pica (DE-627)ELV05748824X (ELSEVIER)S0888-3270(22)00296-5 DE-627 ger DE-627 rakwb eng 570 630 VZ BIODIV DE-30 fid Insam, Christina verfasserin aut Fidelity assessment of Real-Time Hybrid Substructuring based on convergence and extrapolation 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems. High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems. Real-Time Hybrid Substructuring Elsevier Real-time hybrid simulation Elsevier Hardware-in-the-loop testing Elsevier Fidelity assessment Elsevier Accuracy measure Elsevier Rixen, Daniel J. oth Enthalten in Elsevier Jaroenkietkajorn, Ukrit ELSEVIER Species loss from land use of oil palm plantations in Thailand 2021 mssp Amsterdam [u.a.] (DE-627)ELV007151810 volume:175 year:2022 day:1 month:08 pages:0 https://doi.org/10.1016/j.ymssp.2022.109135 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA AR 175 2022 1 0801 0 |
| language |
English |
| source |
Enthalten in Species loss from land use of oil palm plantations in Thailand Amsterdam [u.a.] volume:175 year:2022 day:1 month:08 pages:0 |
| sourceStr |
Enthalten in Species loss from land use of oil palm plantations in Thailand Amsterdam [u.a.] volume:175 year:2022 day:1 month:08 pages:0 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Real-Time Hybrid Substructuring Real-time hybrid simulation Hardware-in-the-loop testing Fidelity assessment Accuracy measure |
| dewey-raw |
570 |
| isfreeaccess_bool |
false |
| container_title |
Species loss from land use of oil palm plantations in Thailand |
| authorswithroles_txt_mv |
Insam, Christina @@aut@@ Rixen, Daniel J. @@oth@@ |
| publishDateDaySort_date |
2022-01-01T00:00:00Z |
| hierarchy_top_id |
ELV007151810 |
| dewey-sort |
3570 |
| id |
ELV05748824X |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV05748824X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626045215.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220808s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ymssp.2022.109135</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001748.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV05748824X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0888-3270(22)00296-5</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="a">630</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">BIODIV</subfield><subfield code="q">DE-30</subfield><subfield code="2">fid</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Insam, Christina</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Fidelity assessment of Real-Time Hybrid Substructuring based on convergence and extrapolation</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022transfer abstract</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Real-Time Hybrid Substructuring</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Real-time hybrid simulation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Hardware-in-the-loop testing</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Fidelity assessment</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Accuracy measure</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rixen, Daniel J.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Jaroenkietkajorn, Ukrit ELSEVIER</subfield><subfield code="t">Species loss from land use of oil palm plantations in Thailand</subfield><subfield code="d">2021</subfield><subfield code="d">mssp</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV007151810</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:175</subfield><subfield code="g">year:2022</subfield><subfield code="g">day:1</subfield><subfield code="g">month:08</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.ymssp.2022.109135</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">175</subfield><subfield code="j">2022</subfield><subfield code="b">1</subfield><subfield code="c">0801</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
| author |
Insam, Christina |
| spellingShingle |
Insam, Christina ddc 570 fid BIODIV Elsevier Real-Time Hybrid Substructuring Elsevier Real-time hybrid simulation Elsevier Hardware-in-the-loop testing Elsevier Fidelity assessment Elsevier Accuracy measure Fidelity assessment of Real-Time Hybrid Substructuring based on convergence and extrapolation |
| authorStr |
Insam, Christina |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV007151810 |
| format |
electronic Article |
| dewey-ones |
570 - Life sciences; biology 630 - Agriculture & related technologies |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
570 630 VZ BIODIV DE-30 fid Fidelity assessment of Real-Time Hybrid Substructuring based on convergence and extrapolation Real-Time Hybrid Substructuring Elsevier Real-time hybrid simulation Elsevier Hardware-in-the-loop testing Elsevier Fidelity assessment Elsevier Accuracy measure Elsevier |
| topic |
ddc 570 fid BIODIV Elsevier Real-Time Hybrid Substructuring Elsevier Real-time hybrid simulation Elsevier Hardware-in-the-loop testing Elsevier Fidelity assessment Elsevier Accuracy measure |
| topic_unstemmed |
ddc 570 fid BIODIV Elsevier Real-Time Hybrid Substructuring Elsevier Real-time hybrid simulation Elsevier Hardware-in-the-loop testing Elsevier Fidelity assessment Elsevier Accuracy measure |
| topic_browse |
ddc 570 fid BIODIV Elsevier Real-Time Hybrid Substructuring Elsevier Real-time hybrid simulation Elsevier Hardware-in-the-loop testing Elsevier Fidelity assessment Elsevier Accuracy measure |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
d j r dj djr |
| hierarchy_parent_title |
Species loss from land use of oil palm plantations in Thailand |
| hierarchy_parent_id |
ELV007151810 |
| dewey-tens |
570 - Life sciences; biology 630 - Agriculture |
| hierarchy_top_title |
Species loss from land use of oil palm plantations in Thailand |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV007151810 |
| title |
Fidelity assessment of Real-Time Hybrid Substructuring based on convergence and extrapolation |
| ctrlnum |
(DE-627)ELV05748824X (ELSEVIER)S0888-3270(22)00296-5 |
| title_full |
Fidelity assessment of Real-Time Hybrid Substructuring based on convergence and extrapolation |
| author_sort |
Insam, Christina |
| journal |
Species loss from land use of oil palm plantations in Thailand |
| journalStr |
Species loss from land use of oil palm plantations in Thailand |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
500 - Science 600 - Technology |
| recordtype |
marc |
| publishDateSort |
2022 |
| contenttype_str_mv |
zzz |
| container_start_page |
0 |
| author_browse |
Insam, Christina |
| container_volume |
175 |
| class |
570 630 VZ BIODIV DE-30 fid |
| format_se |
Elektronische Aufsätze |
| author-letter |
Insam, Christina |
| doi_str_mv |
10.1016/j.ymssp.2022.109135 |
| dewey-full |
570 630 |
| title_sort |
fidelity assessment of real-time hybrid substructuring based on convergence and extrapolation |
| title_auth |
Fidelity assessment of Real-Time Hybrid Substructuring based on convergence and extrapolation |
| abstract |
High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems. |
| abstractGer |
High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems. |
| abstract_unstemmed |
High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA |
| title_short |
Fidelity assessment of Real-Time Hybrid Substructuring based on convergence and extrapolation |
| url |
https://doi.org/10.1016/j.ymssp.2022.109135 |
| remote_bool |
true |
| author2 |
Rixen, Daniel J. |
| author2Str |
Rixen, Daniel J. |
| ppnlink |
ELV007151810 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth |
| doi_str |
10.1016/j.ymssp.2022.109135 |
| up_date |
2024-07-06T23:22:42.600Z |
| _version_ |
1803873851906457600 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV05748824X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626045215.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220808s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ymssp.2022.109135</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001748.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV05748824X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0888-3270(22)00296-5</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="a">630</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">BIODIV</subfield><subfield code="q">DE-30</subfield><subfield code="2">fid</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Insam, Christina</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Fidelity assessment of Real-Time Hybrid Substructuring based on convergence and extrapolation</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022transfer abstract</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">High quality of products and quick development cycles require reliable verification of the products. An applicable method for component testing is Real-Time Hybrid Substructuring (RTHS), which is a cyber–physical testing method combining numerical simulation and experimental testing. For the broad application of such testing methods, confidence in the test results must be gained. For this purpose, fidelity measures are required to indicate to the user how trustworthy the results are. The fidelity of an RTHS test does not only depend on the amount of errors in the loop, but also on the dynamics of the reference system and the interface locations. Current assessment measures do either not consider these dynamics/partitioning or require a reference solution or need knowledge about the dynamics of all involved components. This work proposes a novel strategy for fidelity assessment that circumvents these shortcomings: Fidelity Assessment based on Convergence and Extrapolation (FACE). The main idea is to deliberately vary the amount of error in the RTHS loop and monitor how this changes the RTHS result. From this relation, system understanding can be gained that is used in a further step to estimate the dynamics of the reference solution (i.e., if there was no error in the loop). The proposed method is applied to two application examples. In the first example, which is a virtual RTHS test of a linear system, the true reference solution is available and the prediction capability of the FACE method is verified. The second example uses data from a real RTHS test. Both examples reveal that the FACE method captures the dynamics influence of an error on the RTHS result and therefore helps the user to decide whether the conducted test was successful. This method can therefore be a valuable tool to assist users in the application of RTHS to a large variety of systems.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Real-Time Hybrid Substructuring</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Real-time hybrid simulation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Hardware-in-the-loop testing</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Fidelity assessment</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Accuracy measure</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rixen, Daniel J.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Jaroenkietkajorn, Ukrit ELSEVIER</subfield><subfield code="t">Species loss from land use of oil palm plantations in Thailand</subfield><subfield code="d">2021</subfield><subfield code="d">mssp</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV007151810</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:175</subfield><subfield code="g">year:2022</subfield><subfield code="g">day:1</subfield><subfield code="g">month:08</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.ymssp.2022.109135</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">175</subfield><subfield code="j">2022</subfield><subfield code="b">1</subfield><subfield code="c">0801</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
| score |
7.400511 |