A New Universal Domain Adaptive Method for Diagnosing Unknown Bearing Faults.

Yan, Zhenhao; Liu, Guifang; Wang, Jinrui; Bao, Huaiqian; Zhang, Zongzhen; Zhang, Xiao; Han, Baokun

Yan, Zhenhao; Liu, Guifang; Wang, Jinrui; Bao, Huaiqian; Zhang, Zongzhen; Zhang, Xiao; Han, Baokun.

Afiliación

Yan Z; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Liu G; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Wang J; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Bao H; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Zhang Z; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Zhang X; College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Han B; College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China.

Entropy (Basel) ; 23(8)2021 Aug 16.

Article en En | MEDLINE | ID: mdl-34441193

Palabras clave

domain adaptation; fault diagnosis; rotating machinery; transfer learning

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

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