A Novel Study on a Generalized Model Based on Self-Supervised Learning and Sparse Filtering for Intelligent Bearing Fault Diagnosis.

Nie, Guocai; Zhang, Zhongwei; Shao, Mingyu; Jiao, Zonghao; Li, Youjia; Li, Lei

Nie, Guocai; Zhang, Zhongwei; Shao, Mingyu; Jiao, Zonghao; Li, Youjia; Li, Lei.

Afiliación

Nie G; School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China.
Zhang Z; School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China.
Shao M; School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China.
Jiao Z; School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China.
Li Y; School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China.
Li L; School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China.

Sensors (Basel) ; 23(4)2023 Feb 07.

Article en En | MEDLINE | ID: mdl-36850455

Palabras clave

bearing fault diagnosis; deep learning; self-supervised learning; sparse filtering

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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