Self adaptive learning scheme for early diagnosis of simple and multiple switch faults in multicellular power converters.

Toubakh, Houari; Sayed-Mouchaweh, Moamar; Benmiloud, Mohammed; Defoort, Michael; Djemai, Mohamed

Toubakh, Houari; Sayed-Mouchaweh, Moamar; Benmiloud, Mohammed; Defoort, Michael; Djemai, Mohamed.

Afiliación

Toubakh H; Laboratory of Electrical Engineering, Kasdi Merbah University, Ouargla Route de Ghardaia, BP.511, 30 000, Algeria. Electronic address: houari.toubakh@univ-ouargla.dz.
Sayed-Mouchaweh M; IMT Lille Douai, F-59500 Douai, France. Electronic address: moamar.sayed-Mouchaweh@imt-lille-douai.fr.
Benmiloud M; University of Cambridge, Department of Engineering, United Kingdom. Electronic address: mb2287@eng.cam.ac.uk.
Defoort M; University of Valenciennes and Hainaut-Cambresis, LAMIH, CNRS, UMR-8201, F-59313 Valenciennes, France. Electronic address: Michael.Defoort@uphf.fr.
Djemai M; University of Valenciennes and Hainaut-Cambresis, LAMIH, CNRS, UMR-8201, F-59313 Valenciennes, France. Electronic address: mohamed.djemai@uphf.fr.

ISA Trans ; 113: 222-231, 2021 Jul.

Article en En | MEDLINE | ID: mdl-32241682

Palabras clave

Data mining; Drift-like fault monitoring; Fault diagnosis; Machine learning; Multicellular power converters

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Screening_studies Idioma: En Revista: ISA Trans Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos

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