Chapter The Use of Electrical Measurements of Wind Turbine Generators for Drive Train Condition Monitoring
More modern and larger wind turbine (WT) generators are under continuous development. These exhibit more faults than smaller ones, which becomes critical offshore. Under this framework, operation and maintenance (O&M) is the key to improve reliability and availability of WTs, where condition-based m...
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| פורמט: | Online |
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InTechOpen
2021
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| גישה מקוונת: | ONIX_20210602_10.5772/intechopen.90127_460 |
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| _version_ | 1869517792531709952 |
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| author | Artigao, Estefania Gómez-Lázaro, Emilio Martín-Martínez, Sergio Honrubia-Escribano, Andrés |
| author_browse | Artigao, Estefania Gómez-Lázaro, Emilio Honrubia-Escribano, Andrés Martín-Martínez, Sergio |
| author_facet | Artigao, Estefania Gómez-Lázaro, Emilio Martín-Martínez, Sergio Honrubia-Escribano, Andrés |
| author_sort | Artigao, Estefania |
| collection | Directory of Open Access Books |
| description | More modern and larger wind turbine (WT) generators are under continuous development. These exhibit more faults than smaller ones, which becomes critical offshore. Under this framework, operation and maintenance (O&M) is the key to improve reliability and availability of WTs, where condition-based maintenance (CBM) is currently seen as the preferred approach by the early detection and diagnosis of critical faults for WTs. The induction generator is one of the biggest contributors to failure rates and downtime of WTs, together with the gearbox and the drive train. In the present chapter, current signature analysis (CSA) will be introduced as a means for fault detection of WTs. CSA is a cost-effective and nonintrusive technique that can monitor both mechanical and electrical faults within the induction generator, as well as bearing- and gearbox-related faults. Different test cases of in-service wind turbine generators will be used to illustrate its usefulness. |
| format | Online |
| id | doab-20.500.12854ir-70481 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | InTechOpen |
| publisherStr | InTechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-704812025-01-24T12:21:47Z Chapter The Use of Electrical Measurements of Wind Turbine Generators for Drive Train Condition Monitoring Artigao, Estefania Gómez-Lázaro, Emilio Martín-Martínez, Sergio Honrubia-Escribano, Andrés condition monitoring, current signature analysis, DFIG, wind turbine, operation and maintenance, predictive maintenance, drive train thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general More modern and larger wind turbine (WT) generators are under continuous development. These exhibit more faults than smaller ones, which becomes critical offshore. Under this framework, operation and maintenance (O&M) is the key to improve reliability and availability of WTs, where condition-based maintenance (CBM) is currently seen as the preferred approach by the early detection and diagnosis of critical faults for WTs. The induction generator is one of the biggest contributors to failure rates and downtime of WTs, together with the gearbox and the drive train. In the present chapter, current signature analysis (CSA) will be introduced as a means for fault detection of WTs. CSA is a cost-effective and nonintrusive technique that can monitor both mechanical and electrical faults within the induction generator, as well as bearing- and gearbox-related faults. Different test cases of in-service wind turbine generators will be used to illustrate its usefulness. 2021-02-10T12:58:18Z 2021-06-02T10:12:56Z 2020 chapter ONIX_20210602_10.5772/intechopen.90127_460 https://library.oapen.org/handle/20.500.12657/49346 https://directory.doabooks.org/handle/20.500.12854/70481 eng open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/49346/1/70100.pdf https://library.oapen.org/bitstream/20.500.12657/49346/1/70100.pdf https://library.oapen.org/bitstream/20.500.12657/49346/1/70100.pdf InTechOpen 10.5772/intechopen.90127 10.5772/intechopen.90127 035ecc65-6737-43cf-a13a-6bdf67ce01f4 open access |
| spellingShingle | condition monitoring, current signature analysis, DFIG, wind turbine, operation and maintenance, predictive maintenance, drive train thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general Artigao, Estefania Gómez-Lázaro, Emilio Martín-Martínez, Sergio Honrubia-Escribano, Andrés Chapter The Use of Electrical Measurements of Wind Turbine Generators for Drive Train Condition Monitoring |
| title | Chapter The Use of Electrical Measurements of Wind Turbine Generators for Drive Train Condition Monitoring |
| title_full | Chapter The Use of Electrical Measurements of Wind Turbine Generators for Drive Train Condition Monitoring |
| title_fullStr | Chapter The Use of Electrical Measurements of Wind Turbine Generators for Drive Train Condition Monitoring |
| title_full_unstemmed | Chapter The Use of Electrical Measurements of Wind Turbine Generators for Drive Train Condition Monitoring |
| title_short | Chapter The Use of Electrical Measurements of Wind Turbine Generators for Drive Train Condition Monitoring |
| title_sort | chapter the use of electrical measurements of wind turbine generators for drive train condition monitoring |
| topic | condition monitoring, current signature analysis, DFIG, wind turbine, operation and maintenance, predictive maintenance, drive train thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general |
| topic_facet | condition monitoring, current signature analysis, DFIG, wind turbine, operation and maintenance, predictive maintenance, drive train thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general |
| url | ONIX_20210602_10.5772/intechopen.90127_460 |
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