A Hydraulic Pump Fault Diagnosis Method Based on the Modified Ensemble Empirical Mode Decomposition and Wavelet Kernel Extreme Learning Machine Methods.

Li, Zhenbao; Jiang, Wanlu; Zhang, Sheng; Sun, Yu; Zhang, Shuqing

Li, Zhenbao; Jiang, Wanlu; Zhang, Sheng; Sun, Yu; Zhang, Shuqing.

Afiliação

Li Z; Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Yanshan University, Qinhuangdao 066004, China.
Jiang W; Key Laboratory of Advanced Forging & Stamping Technology and Science, Yanshan University, Ministry of Education of China, Qinhuangdao 066004, China.
Zhang S; Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Yanshan University, Qinhuangdao 066004, China.
Sun Y; Key Laboratory of Advanced Forging & Stamping Technology and Science, Yanshan University, Ministry of Education of China, Qinhuangdao 066004, China.
Zhang S; Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Yanshan University, Qinhuangdao 066004, China.

Sensors (Basel) ; 21(8)2021 Apr 07.

Article em En | MEDLINE | ID: mdl-33917254

Palavras-chave

fault diagnosis; hydraulic pump; modified ensemble empirical mode decomposition (MEEMD); wavelet kernel extreme learning machine (WKELM)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

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