Method for Diagnosing Bearing Faults in Electromechanical Equipment Based on Improved Prototypical Networks.

Wang, Zilong; Shen, Honghai; Xiong, Wenzhuo; Zhang, Xueming; Hou, Jinghua

Wang, Zilong; Shen, Honghai; Xiong, Wenzhuo; Zhang, Xueming; Hou, Jinghua.

Afiliação

Wang Z; Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.
Shen H; Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.
Xiong W; University of Chinese Academy of Sciences, Beijing 100039, China.
Zhang X; Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.
Hou J; Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.

Sensors (Basel) ; 23(9)2023 May 04.

Article em En | MEDLINE | ID: mdl-37177689

Palavras-chave

Gramian angular field; KullbackLeibler divergence; fault diagnosis; meta-learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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