Time delay-based spectrum reconstruction for nonuniform and sub-Nyquist sampling in blade tip timing

Rotating blades play a functional role during the working process of turbomachinery, but they are prone to failure due to harsh working conditions. Blade tip timing (BTT) is a potential technique for operational blade health monitoring due to its noncontact feature and efficiency. The critical issue...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Cao, Jiahui [verfasserIn] Yang, Zhibo [verfasserIn] Tian, Shaohua [verfasserIn] Chen, Xuefeng [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Spectrum reconstruction Periodic nonuniform sampling Delay sampling criterion Minimal probe number Sub-Nyquist Blade tip timing

Übergeordnetes Werk:	Enthalten in: Mechanical systems and signal processing - Amsterdam [u.a.] : Elsevier, 1987, 200
Übergeordnetes Werk:	volume:200

DOI / URN:	10.1016/j.ymssp.2023.110552

Katalog-ID:	ELV061593079

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245	1	0	\|a Time delay-based spectrum reconstruction for nonuniform and sub-Nyquist sampling in blade tip timing
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520			\|a Rotating blades play a functional role during the working process of turbomachinery, but they are prone to failure due to harsh working conditions. Blade tip timing (BTT) is a potential technique for operational blade health monitoring due to its noncontact feature and efficiency. The critical issue in the application of BTT is extracting vibration parameters or reconstructing the spectrum for subsequent fault diagnosis. However, the nonuniform and undersampling characteristics of the BTT signal challenge signal processing. In this work, we developed an effective and efficient time delay-based spectrum reconstruction method. On this basis, we proposed the conditions (minimal probe number and delay sampling criterion) for the spectrum reconstruction. The proposed reconstruction conditions apply to most BTT methods for parameter identification or spectrum reconstruction and provide guidance for BTT measurement. Finally, the effectiveness of the proposed method and the correctness of the reconstruction conditions were demonstrated by a series of simulations and experiments.
650		4	\|a Spectrum reconstruction
650		4	\|a Periodic nonuniform sampling
650		4	\|a Delay sampling criterion
650		4	\|a Minimal probe number
650		4	\|a Sub-Nyquist
650		4	\|a Blade tip timing
700	1		\|a Yang, Zhibo \|e verfasserin \|0 (orcid)0000-0002-9815-5013 \|4 aut
700	1		\|a Tian, Shaohua \|e verfasserin \|0 (orcid)0000-0002-5896-4393 \|4 aut
700	1		\|a Chen, Xuefeng \|e verfasserin \|0 (orcid)0000-0002-0130-3172 \|4 aut
773	0	8	\|i Enthalten in \|t Mechanical systems and signal processing \|d Amsterdam [u.a.] : Elsevier, 1987 \|g 200 \|h Online-Ressource \|w (DE-627)267838670 \|w (DE-600)1471003-1 \|w (DE-576)253127629 \|x 1096-1216 \|7 nnns
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936	b	k	\|a 50.32 \|j Dynamik \|j Schwingungslehre \|x Technische Mechanik \|q VZ
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publishDate	2023
allfields	10.1016/j.ymssp.2023.110552 doi (DE-627)ELV061593079 (ELSEVIER)S0888-3270(23)00460-0 DE-627 ger DE-627 rda eng 004 VZ 50.32 bkl 50.16 bkl Cao, Jiahui verfasserin (orcid)0000-0002-1705-7965 aut Time delay-based spectrum reconstruction for nonuniform and sub-Nyquist sampling in blade tip timing 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Rotating blades play a functional role during the working process of turbomachinery, but they are prone to failure due to harsh working conditions. Blade tip timing (BTT) is a potential technique for operational blade health monitoring due to its noncontact feature and efficiency. The critical issue in the application of BTT is extracting vibration parameters or reconstructing the spectrum for subsequent fault diagnosis. However, the nonuniform and undersampling characteristics of the BTT signal challenge signal processing. In this work, we developed an effective and efficient time delay-based spectrum reconstruction method. On this basis, we proposed the conditions (minimal probe number and delay sampling criterion) for the spectrum reconstruction. The proposed reconstruction conditions apply to most BTT methods for parameter identification or spectrum reconstruction and provide guidance for BTT measurement. Finally, the effectiveness of the proposed method and the correctness of the reconstruction conditions were demonstrated by a series of simulations and experiments. Spectrum reconstruction Periodic nonuniform sampling Delay sampling criterion Minimal probe number Sub-Nyquist Blade tip timing Yang, Zhibo verfasserin (orcid)0000-0002-9815-5013 aut Tian, Shaohua verfasserin (orcid)0000-0002-5896-4393 aut Chen, Xuefeng verfasserin (orcid)0000-0002-0130-3172 aut Enthalten in Mechanical systems and signal processing Amsterdam [u.a.] : Elsevier, 1987 200 Online-Ressource (DE-627)267838670 (DE-600)1471003-1 (DE-576)253127629 1096-1216 nnns volume:200 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.32 Dynamik Schwingungslehre Technische Mechanik VZ 50.16 Technische Zuverlässigkeit Instandhaltung VZ AR 200
spelling	10.1016/j.ymssp.2023.110552 doi (DE-627)ELV061593079 (ELSEVIER)S0888-3270(23)00460-0 DE-627 ger DE-627 rda eng 004 VZ 50.32 bkl 50.16 bkl Cao, Jiahui verfasserin (orcid)0000-0002-1705-7965 aut Time delay-based spectrum reconstruction for nonuniform and sub-Nyquist sampling in blade tip timing 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Rotating blades play a functional role during the working process of turbomachinery, but they are prone to failure due to harsh working conditions. Blade tip timing (BTT) is a potential technique for operational blade health monitoring due to its noncontact feature and efficiency. The critical issue in the application of BTT is extracting vibration parameters or reconstructing the spectrum for subsequent fault diagnosis. However, the nonuniform and undersampling characteristics of the BTT signal challenge signal processing. In this work, we developed an effective and efficient time delay-based spectrum reconstruction method. On this basis, we proposed the conditions (minimal probe number and delay sampling criterion) for the spectrum reconstruction. The proposed reconstruction conditions apply to most BTT methods for parameter identification or spectrum reconstruction and provide guidance for BTT measurement. Finally, the effectiveness of the proposed method and the correctness of the reconstruction conditions were demonstrated by a series of simulations and experiments. Spectrum reconstruction Periodic nonuniform sampling Delay sampling criterion Minimal probe number Sub-Nyquist Blade tip timing Yang, Zhibo verfasserin (orcid)0000-0002-9815-5013 aut Tian, Shaohua verfasserin (orcid)0000-0002-5896-4393 aut Chen, Xuefeng verfasserin (orcid)0000-0002-0130-3172 aut Enthalten in Mechanical systems and signal processing Amsterdam [u.a.] : Elsevier, 1987 200 Online-Ressource (DE-627)267838670 (DE-600)1471003-1 (DE-576)253127629 1096-1216 nnns volume:200 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.32 Dynamik Schwingungslehre Technische Mechanik VZ 50.16 Technische Zuverlässigkeit Instandhaltung VZ AR 200
allfields_unstemmed	10.1016/j.ymssp.2023.110552 doi (DE-627)ELV061593079 (ELSEVIER)S0888-3270(23)00460-0 DE-627 ger DE-627 rda eng 004 VZ 50.32 bkl 50.16 bkl Cao, Jiahui verfasserin (orcid)0000-0002-1705-7965 aut Time delay-based spectrum reconstruction for nonuniform and sub-Nyquist sampling in blade tip timing 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Rotating blades play a functional role during the working process of turbomachinery, but they are prone to failure due to harsh working conditions. Blade tip timing (BTT) is a potential technique for operational blade health monitoring due to its noncontact feature and efficiency. The critical issue in the application of BTT is extracting vibration parameters or reconstructing the spectrum for subsequent fault diagnosis. However, the nonuniform and undersampling characteristics of the BTT signal challenge signal processing. In this work, we developed an effective and efficient time delay-based spectrum reconstruction method. On this basis, we proposed the conditions (minimal probe number and delay sampling criterion) for the spectrum reconstruction. The proposed reconstruction conditions apply to most BTT methods for parameter identification or spectrum reconstruction and provide guidance for BTT measurement. Finally, the effectiveness of the proposed method and the correctness of the reconstruction conditions were demonstrated by a series of simulations and experiments. Spectrum reconstruction Periodic nonuniform sampling Delay sampling criterion Minimal probe number Sub-Nyquist Blade tip timing Yang, Zhibo verfasserin (orcid)0000-0002-9815-5013 aut Tian, Shaohua verfasserin (orcid)0000-0002-5896-4393 aut Chen, Xuefeng verfasserin (orcid)0000-0002-0130-3172 aut Enthalten in Mechanical systems and signal processing Amsterdam [u.a.] : Elsevier, 1987 200 Online-Ressource (DE-627)267838670 (DE-600)1471003-1 (DE-576)253127629 1096-1216 nnns volume:200 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.32 Dynamik Schwingungslehre Technische Mechanik VZ 50.16 Technische Zuverlässigkeit Instandhaltung VZ AR 200
allfieldsGer	10.1016/j.ymssp.2023.110552 doi (DE-627)ELV061593079 (ELSEVIER)S0888-3270(23)00460-0 DE-627 ger DE-627 rda eng 004 VZ 50.32 bkl 50.16 bkl Cao, Jiahui verfasserin (orcid)0000-0002-1705-7965 aut Time delay-based spectrum reconstruction for nonuniform and sub-Nyquist sampling in blade tip timing 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Rotating blades play a functional role during the working process of turbomachinery, but they are prone to failure due to harsh working conditions. Blade tip timing (BTT) is a potential technique for operational blade health monitoring due to its noncontact feature and efficiency. The critical issue in the application of BTT is extracting vibration parameters or reconstructing the spectrum for subsequent fault diagnosis. However, the nonuniform and undersampling characteristics of the BTT signal challenge signal processing. In this work, we developed an effective and efficient time delay-based spectrum reconstruction method. On this basis, we proposed the conditions (minimal probe number and delay sampling criterion) for the spectrum reconstruction. The proposed reconstruction conditions apply to most BTT methods for parameter identification or spectrum reconstruction and provide guidance for BTT measurement. Finally, the effectiveness of the proposed method and the correctness of the reconstruction conditions were demonstrated by a series of simulations and experiments. Spectrum reconstruction Periodic nonuniform sampling Delay sampling criterion Minimal probe number Sub-Nyquist Blade tip timing Yang, Zhibo verfasserin (orcid)0000-0002-9815-5013 aut Tian, Shaohua verfasserin (orcid)0000-0002-5896-4393 aut Chen, Xuefeng verfasserin (orcid)0000-0002-0130-3172 aut Enthalten in Mechanical systems and signal processing Amsterdam [u.a.] : Elsevier, 1987 200 Online-Ressource (DE-627)267838670 (DE-600)1471003-1 (DE-576)253127629 1096-1216 nnns volume:200 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.32 Dynamik Schwingungslehre Technische Mechanik VZ 50.16 Technische Zuverlässigkeit Instandhaltung VZ AR 200
allfieldsSound	10.1016/j.ymssp.2023.110552 doi (DE-627)ELV061593079 (ELSEVIER)S0888-3270(23)00460-0 DE-627 ger DE-627 rda eng 004 VZ 50.32 bkl 50.16 bkl Cao, Jiahui verfasserin (orcid)0000-0002-1705-7965 aut Time delay-based spectrum reconstruction for nonuniform and sub-Nyquist sampling in blade tip timing 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Rotating blades play a functional role during the working process of turbomachinery, but they are prone to failure due to harsh working conditions. Blade tip timing (BTT) is a potential technique for operational blade health monitoring due to its noncontact feature and efficiency. The critical issue in the application of BTT is extracting vibration parameters or reconstructing the spectrum for subsequent fault diagnosis. However, the nonuniform and undersampling characteristics of the BTT signal challenge signal processing. In this work, we developed an effective and efficient time delay-based spectrum reconstruction method. On this basis, we proposed the conditions (minimal probe number and delay sampling criterion) for the spectrum reconstruction. The proposed reconstruction conditions apply to most BTT methods for parameter identification or spectrum reconstruction and provide guidance for BTT measurement. Finally, the effectiveness of the proposed method and the correctness of the reconstruction conditions were demonstrated by a series of simulations and experiments. Spectrum reconstruction Periodic nonuniform sampling Delay sampling criterion Minimal probe number Sub-Nyquist Blade tip timing Yang, Zhibo verfasserin (orcid)0000-0002-9815-5013 aut Tian, Shaohua verfasserin (orcid)0000-0002-5896-4393 aut Chen, Xuefeng verfasserin (orcid)0000-0002-0130-3172 aut Enthalten in Mechanical systems and signal processing Amsterdam [u.a.] : Elsevier, 1987 200 Online-Ressource (DE-627)267838670 (DE-600)1471003-1 (DE-576)253127629 1096-1216 nnns volume:200 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.32 Dynamik Schwingungslehre Technische Mechanik VZ 50.16 Technische Zuverlässigkeit Instandhaltung VZ AR 200
language	English
source	Enthalten in Mechanical systems and signal processing 200 volume:200
sourceStr	Enthalten in Mechanical systems and signal processing 200 volume:200
format_phy_str_mv	Article
bklname	Dynamik Schwingungslehre Technische Zuverlässigkeit Instandhaltung
institution	findex.gbv.de
topic_facet	Spectrum reconstruction Periodic nonuniform sampling Delay sampling criterion Minimal probe number Sub-Nyquist Blade tip timing
dewey-raw	004
isfreeaccess_bool	false
container_title	Mechanical systems and signal processing
authorswithroles_txt_mv	Cao, Jiahui @@aut@@ Yang, Zhibo @@aut@@ Tian, Shaohua @@aut@@ Chen, Xuefeng @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	267838670
dewey-sort	14
id	ELV061593079
language_de	englisch
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author	Cao, Jiahui
spellingShingle	Cao, Jiahui ddc 004 bkl 50.32 bkl 50.16 misc Spectrum reconstruction misc Periodic nonuniform sampling misc Delay sampling criterion misc Minimal probe number misc Sub-Nyquist misc Blade tip timing Time delay-based spectrum reconstruction for nonuniform and sub-Nyquist sampling in blade tip timing
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topic_title	004 VZ 50.32 bkl 50.16 bkl Time delay-based spectrum reconstruction for nonuniform and sub-Nyquist sampling in blade tip timing Spectrum reconstruction Periodic nonuniform sampling Delay sampling criterion Minimal probe number Sub-Nyquist Blade tip timing
topic	ddc 004 bkl 50.32 bkl 50.16 misc Spectrum reconstruction misc Periodic nonuniform sampling misc Delay sampling criterion misc Minimal probe number misc Sub-Nyquist misc Blade tip timing
topic_unstemmed	ddc 004 bkl 50.32 bkl 50.16 misc Spectrum reconstruction misc Periodic nonuniform sampling misc Delay sampling criterion misc Minimal probe number misc Sub-Nyquist misc Blade tip timing
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title	Time delay-based spectrum reconstruction for nonuniform and sub-Nyquist sampling in blade tip timing
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title_full	Time delay-based spectrum reconstruction for nonuniform and sub-Nyquist sampling in blade tip timing
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title_sort	time delay-based spectrum reconstruction for nonuniform and sub-nyquist sampling in blade tip timing
title_auth	Time delay-based spectrum reconstruction for nonuniform and sub-Nyquist sampling in blade tip timing
abstract	Rotating blades play a functional role during the working process of turbomachinery, but they are prone to failure due to harsh working conditions. Blade tip timing (BTT) is a potential technique for operational blade health monitoring due to its noncontact feature and efficiency. The critical issue in the application of BTT is extracting vibration parameters or reconstructing the spectrum for subsequent fault diagnosis. However, the nonuniform and undersampling characteristics of the BTT signal challenge signal processing. In this work, we developed an effective and efficient time delay-based spectrum reconstruction method. On this basis, we proposed the conditions (minimal probe number and delay sampling criterion) for the spectrum reconstruction. The proposed reconstruction conditions apply to most BTT methods for parameter identification or spectrum reconstruction and provide guidance for BTT measurement. Finally, the effectiveness of the proposed method and the correctness of the reconstruction conditions were demonstrated by a series of simulations and experiments.
abstractGer	Rotating blades play a functional role during the working process of turbomachinery, but they are prone to failure due to harsh working conditions. Blade tip timing (BTT) is a potential technique for operational blade health monitoring due to its noncontact feature and efficiency. The critical issue in the application of BTT is extracting vibration parameters or reconstructing the spectrum for subsequent fault diagnosis. However, the nonuniform and undersampling characteristics of the BTT signal challenge signal processing. In this work, we developed an effective and efficient time delay-based spectrum reconstruction method. On this basis, we proposed the conditions (minimal probe number and delay sampling criterion) for the spectrum reconstruction. The proposed reconstruction conditions apply to most BTT methods for parameter identification or spectrum reconstruction and provide guidance for BTT measurement. Finally, the effectiveness of the proposed method and the correctness of the reconstruction conditions were demonstrated by a series of simulations and experiments.
abstract_unstemmed	Rotating blades play a functional role during the working process of turbomachinery, but they are prone to failure due to harsh working conditions. Blade tip timing (BTT) is a potential technique for operational blade health monitoring due to its noncontact feature and efficiency. The critical issue in the application of BTT is extracting vibration parameters or reconstructing the spectrum for subsequent fault diagnosis. However, the nonuniform and undersampling characteristics of the BTT signal challenge signal processing. In this work, we developed an effective and efficient time delay-based spectrum reconstruction method. On this basis, we proposed the conditions (minimal probe number and delay sampling criterion) for the spectrum reconstruction. The proposed reconstruction conditions apply to most BTT methods for parameter identification or spectrum reconstruction and provide guidance for BTT measurement. Finally, the effectiveness of the proposed method and the correctness of the reconstruction conditions were demonstrated by a series of simulations and experiments.
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title_short	Time delay-based spectrum reconstruction for nonuniform and sub-Nyquist sampling in blade tip timing
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author2	Yang, Zhibo Tian, Shaohua Chen, Xuefeng
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up_date	2024-07-06T17:50:49.894Z
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Time delay-based spectrum reconstruction for nonuniform and sub-Nyquist sampling in blade tip timing

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