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dc.contributor.authorArtigao, Estefania
dc.contributor.authorGómez-Lázaro, Emilio
dc.contributor.authorMartín-Martínez, Sergio
dc.contributor.authorHonrubia-Escribano, Andrés
dc.date.accessioned2021-06-02T10:12:56Z
dc.date.available2021-06-02T10:12:56Z
dc.date.issued2020
dc.identifierONIX_20210602_10.5772/intechopen.90127_460
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/49346
dc.description.abstractMore 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.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBC Engineering: general
dc.subject.othercondition monitoring, current signature analysis, DFIG, wind turbine, operation and maintenance, predictive maintenance, drive train
dc.titleChapter The Use of Electrical Measurements of Wind Turbine Generators for Drive Train Condition Monitoring
dc.typechapter
oapen.identifier.doi10.5772/intechopen.90127
oapen.relation.isPublishedBy09f6769d-48ed-467d-b150-4cf2680656a1
oapen.relation.isFundedByH2020-MSCA-ITN-2014
oapen.grant.number642108
oapen.grant.acronymAWESOME


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