A Novel Fault Detection and Identification Framework for Rotating Machinery Using Residual Current Spectrum.

Purbowaskito, Widagdo; Lan, Chen-Yang; Fuh, Kenny

Purbowaskito, Widagdo; Lan, Chen-Yang; Fuh, Kenny.

Afiliación

Purbowaskito W; Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.
Lan CY; Department of Industrial Engineering, Universitas Atma Jaya Yogyakarta, Yogyakarta 55281, Indonesia.
Fuh K; Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.

Sensors (Basel) ; 21(17)2021 Aug 31.

Article en En | MEDLINE | ID: mdl-34502756

Palabras clave

Q-function; fault identification; induction motors; model-based fault detection; residual spectrum; subspace identification

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Suiza

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