Numerical Model Driving Multi-Domain Information Transfer Method for Bearing Fault Diagnosis.

Zhang, Long; Zhang, Hao; Xiao, Qian; Zhao, Lijuan; Hu, Yanqing; Liu, Haoyang; Qiao, Yu

Zhang, Long; Zhang, Hao; Xiao, Qian; Zhao, Lijuan; Hu, Yanqing; Liu, Haoyang; Qiao, Yu.

Afiliación

Zhang L; School of Mechatronics & Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China.
Zhang H; School of Mechatronics & Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China.
Xiao Q; School of Mechatronics & Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China.
Zhao L; School of Mechatronics & Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China.
Hu Y; School of Mechatronics & Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China.
Liu H; School of Mechatronics & Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China.
Qiao Y; School of Mechatronics & Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China.

Sensors (Basel) ; 22(24)2022 Dec 13.

Article en En | MEDLINE | ID: mdl-36560130

Asunto(s)

Conducción de Automóvil; Simulación por Computador; Redes Neurales de la Computación; Condiciones de Trabajo

Palabras clave

WGAN-BP; cDNAP; dynamic analysis; rolling bearing; variable working conditions

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Conducción de Automóvil 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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