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Bearing Fault Detection in DFIG-Based Wind Turbines Using the First Intrinsic Mode Function

hal.structure.identifierLaboratoire Images, Signaux et Systèmes Intelligents [LISSI]
dc.contributor.authorAMIRAT, Yacine
hal.structure.identifierLaboratoire brestois de mécanique et des systèmes [LBMS]
dc.contributor.authorCHOQUEUSE, Vincent
hal.structure.identifierLaboratoire brestois de mécanique et des systèmes [LBMS]
dc.contributor.authorBENBOUZID, Mohamed
hal.structure.identifierInstitut de Recherche de l'Ecole Navale [IRENAV]
dc.contributor.authorCHARPENTIER, Jean-Frederic
dc.date.accessioned2021-05-14T09:58:59Z
dc.date.available2021-05-14T09:58:59Z
dc.date.issued2010
dc.date.conference2010-09
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/77999
dc.descriptionWind energy conversion systems have become a focal point in the research of renewable energy sources. In order to make the DFIG-based wind turbines so competitive as the classical electric power stations it is important to reduce the operational and maintenance costs by continuously monitoring the condition of these systems. This paper provides a method for bearing fault detection in DFIG-based wind turbines. The proposed method uses the first Intrinsic Mode Function (IMF) of the stator current signal. After extracting the first IMF, amplitude-demodulation is performed to reveal a generator bearing fault. Experimental results show that the proposed method significantly improves the result of classical amplitude-demodulation techniques for failure detection.
dc.description.abstractEnWind energy conversion systems have become a focal point in the research of renewable energy sources. In order to make the DFIG-based wind turbines so competitive as the classical electric power stations it is important to reduce the operational and maintenance costs by continuously monitoring the condition of these systems. This paper provides a method for bearing fault detection in DFIG-based wind turbines. The proposed method uses the first Intrinsic Mode Function (IMF) of the stator current signal. After extracting the first IMF, amplitude-demodulation is performed to reveal a generator bearing fault. Experimental results show that the proposed method significantly improves the result of classical amplitude-demodulation techniques for failure detection.
dc.language.isoen
dc.publisherIEEE
dc.source.titleElectrical Machines (ICEM), 2010 XIX International Conference on
dc.subject.enWind turbine
dc.subject.enDoubly Fed Induction Generator (DFIG)
dc.subject.enFault detectio
dc.subject.enBearings
dc.subject.enSignal processing
dc.title.enBearing Fault Detection in DFIG-Based Wind Turbines Using the First Intrinsic Mode Function
dc.typeCommunication dans un congrès avec actes
dc.identifier.doi10.1109/ICELMACH.2010.5608066
dc.subject.halSciences de l'ingénieur [physics]/Energie électrique
bordeaux.page1-6
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.countryIT
bordeaux.title.proceedingXIX International Conference on Electrical Machines (ICEM), 2010
bordeaux.conference.cityROME
bordeaux.peerReviewedoui
hal.identifierhal-01081638
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01081638v1
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