Ontological modeling of spatial shaft-position knowledge for steam turbine rotor
Abstract Large business enterprises rely heavily on their human capital. The human capital consists of domain knowledge, experience, analytical and creativity levels. It is recognized that, creativity levels and analytical skills are traits of individuals. All these need to be captured by the use of...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Gupta, Piyush [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2013 |
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| Schlagwörter: |
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| Anmerkung: |
© The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2013 |
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| Übergeordnetes Werk: |
Enthalten in: International Journal of Systems Assurance Engineering and Management - Springer-Verlag, 2010, 4(2013), 3 vom: 28. Juni, Seite 284-292 |
|---|---|
| Übergeordnetes Werk: |
volume:4 ; year:2013 ; number:3 ; day:28 ; month:06 ; pages:284-292 |
| Links: |
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| DOI / URN: |
10.1007/s13198-013-0177-2 |
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SPR031238688 |
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10.1007/s13198-013-0177-2 doi (DE-627)SPR031238688 (SPR)s13198-013-0177-2-e DE-627 ger DE-627 rakwb eng Gupta, Piyush verfasserin aut Ontological modeling of spatial shaft-position knowledge for steam turbine rotor 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2013 Abstract Large business enterprises rely heavily on their human capital. The human capital consists of domain knowledge, experience, analytical and creativity levels. It is recognized that, creativity levels and analytical skills are traits of individuals. All these need to be captured by the use of suitable knowledge capturing techniques, particularly due to exponential knowledge growth in all domains of technology. Ontological modeling has the potential to capture such knowledge, and organize it in a structured format based on the concepts and their mutual relations. It can capture the analytical and creative rationale of design and troubleshooting, besides incorporating specific design sub-routines for tasks. This paper discusses an ontology based model, which stores knowledge for the positioning-system of steam turbine rotor. The efficacy of the model has been demonstrated in capturing this domain knowledge, which can be used by the design and the maintenance personnel and thereby, increase their efficiency. Ontology (dpeaa)DE-He213 Journal bearing (dpeaa)DE-He213 Thrust-bearing (dpeaa)DE-He213 Rotor-positioning (dpeaa)DE-He213 Design (dpeaa)DE-He213 Maintenance (dpeaa)DE-He213 Gandhi, O. P. aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 4(2013), 3 vom: 28. Juni, Seite 284-292 (DE-627)SPR031222420 nnns volume:4 year:2013 number:3 day:28 month:06 pages:284-292 https://dx.doi.org/10.1007/s13198-013-0177-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 4 2013 3 28 06 284-292 |
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10.1007/s13198-013-0177-2 doi (DE-627)SPR031238688 (SPR)s13198-013-0177-2-e DE-627 ger DE-627 rakwb eng Gupta, Piyush verfasserin aut Ontological modeling of spatial shaft-position knowledge for steam turbine rotor 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2013 Abstract Large business enterprises rely heavily on their human capital. The human capital consists of domain knowledge, experience, analytical and creativity levels. It is recognized that, creativity levels and analytical skills are traits of individuals. All these need to be captured by the use of suitable knowledge capturing techniques, particularly due to exponential knowledge growth in all domains of technology. Ontological modeling has the potential to capture such knowledge, and organize it in a structured format based on the concepts and their mutual relations. It can capture the analytical and creative rationale of design and troubleshooting, besides incorporating specific design sub-routines for tasks. This paper discusses an ontology based model, which stores knowledge for the positioning-system of steam turbine rotor. The efficacy of the model has been demonstrated in capturing this domain knowledge, which can be used by the design and the maintenance personnel and thereby, increase their efficiency. Ontology (dpeaa)DE-He213 Journal bearing (dpeaa)DE-He213 Thrust-bearing (dpeaa)DE-He213 Rotor-positioning (dpeaa)DE-He213 Design (dpeaa)DE-He213 Maintenance (dpeaa)DE-He213 Gandhi, O. P. aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 4(2013), 3 vom: 28. Juni, Seite 284-292 (DE-627)SPR031222420 nnns volume:4 year:2013 number:3 day:28 month:06 pages:284-292 https://dx.doi.org/10.1007/s13198-013-0177-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 4 2013 3 28 06 284-292 |
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Abstract Large business enterprises rely heavily on their human capital. The human capital consists of domain knowledge, experience, analytical and creativity levels. It is recognized that, creativity levels and analytical skills are traits of individuals. All these need to be captured by the use of suitable knowledge capturing techniques, particularly due to exponential knowledge growth in all domains of technology. Ontological modeling has the potential to capture such knowledge, and organize it in a structured format based on the concepts and their mutual relations. It can capture the analytical and creative rationale of design and troubleshooting, besides incorporating specific design sub-routines for tasks. This paper discusses an ontology based model, which stores knowledge for the positioning-system of steam turbine rotor. The efficacy of the model has been demonstrated in capturing this domain knowledge, which can be used by the design and the maintenance personnel and thereby, increase their efficiency. © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2013 |
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Abstract Large business enterprises rely heavily on their human capital. The human capital consists of domain knowledge, experience, analytical and creativity levels. It is recognized that, creativity levels and analytical skills are traits of individuals. All these need to be captured by the use of suitable knowledge capturing techniques, particularly due to exponential knowledge growth in all domains of technology. Ontological modeling has the potential to capture such knowledge, and organize it in a structured format based on the concepts and their mutual relations. It can capture the analytical and creative rationale of design and troubleshooting, besides incorporating specific design sub-routines for tasks. This paper discusses an ontology based model, which stores knowledge for the positioning-system of steam turbine rotor. The efficacy of the model has been demonstrated in capturing this domain knowledge, which can be used by the design and the maintenance personnel and thereby, increase their efficiency. © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2013 |
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Abstract Large business enterprises rely heavily on their human capital. The human capital consists of domain knowledge, experience, analytical and creativity levels. It is recognized that, creativity levels and analytical skills are traits of individuals. All these need to be captured by the use of suitable knowledge capturing techniques, particularly due to exponential knowledge growth in all domains of technology. Ontological modeling has the potential to capture such knowledge, and organize it in a structured format based on the concepts and their mutual relations. It can capture the analytical and creative rationale of design and troubleshooting, besides incorporating specific design sub-routines for tasks. This paper discusses an ontology based model, which stores knowledge for the positioning-system of steam turbine rotor. The efficacy of the model has been demonstrated in capturing this domain knowledge, which can be used by the design and the maintenance personnel and thereby, increase their efficiency. © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2013 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR031238688</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230331061307.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2013 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s13198-013-0177-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR031238688</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s13198-013-0177-2-e</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="100" ind1="1" ind2=" "><subfield code="a">Gupta, Piyush</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Ontological modeling of spatial shaft-position knowledge for steam turbine rotor</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2013</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Large business enterprises rely heavily on their human capital. The human capital consists of domain knowledge, experience, analytical and creativity levels. It is recognized that, creativity levels and analytical skills are traits of individuals. All these need to be captured by the use of suitable knowledge capturing techniques, particularly due to exponential knowledge growth in all domains of technology. Ontological modeling has the potential to capture such knowledge, and organize it in a structured format based on the concepts and their mutual relations. It can capture the analytical and creative rationale of design and troubleshooting, besides incorporating specific design sub-routines for tasks. This paper discusses an ontology based model, which stores knowledge for the positioning-system of steam turbine rotor. The efficacy of the model has been demonstrated in capturing this domain knowledge, which can be used by the design and the maintenance personnel and thereby, increase their efficiency.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ontology</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Journal bearing</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Thrust-bearing</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Rotor-positioning</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Design</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Maintenance</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gandhi, O. 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