An Improved Convolutional Capsule Network for Compound Fault Diagnosis of RV Reducers.

Xu, Qitong; Liu, Chang; Yang, Enshan; Wang, Mengdi

Xu, Qitong; Liu, Chang; Yang, Enshan; Wang, Mengdi.

Afiliación

Xu Q; Key Laboratory of Advanced Equipment Intelligent Manufacturing Technology of Yunnan Province, Kunming University of Science & Technology, Kunming 650500, China.
Liu C; Key Laboratory of Advanced Equipment Intelligent Manufacturing Technology of Yunnan Province, Kunming University of Science & Technology, Kunming 650500, China.
Yang E; Faculty of Mechanical & Electrical Engineering, Kunming University of Science & Technology, Kunming 650500, China.
Wang M; Key Laboratory of Advanced Equipment Intelligent Manufacturing Technology of Yunnan Province, Kunming University of Science & Technology, Kunming 650500, China.

Sensors (Basel) ; 22(17)2022 Aug 26.

Article en En | MEDLINE | ID: mdl-36080899

Palabras clave

RV reducer; capsule network; compound fault diagnosis; convolutional neural network

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China

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