A New Method Based on Time-Varying Filtering Intrinsic Time-Scale Decomposition and General Refined Composite Multiscale Sample Entropy for Rolling-Bearing Feature Extraction.

Ma, Jianpeng; Han, Song; Li, Chengwei; Zhan, Liwei; Zhang, Guang-Zhu

Ma, Jianpeng; Han, Song; Li, Chengwei; Zhan, Liwei; Zhang, Guang-Zhu.

Affiliation

Ma J; School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.
Han S; Aero Engine Corporation of China Harbin Bearing Co., Ltd., Harbin 150500, China.
Li C; School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.
Zhan L; Aero Engine Corporation of China Harbin Bearing Co., Ltd., Harbin 150500, China.
Zhang GZ; Undergraduate College, Songsim Global Campus, The Catholic University of Korea, Bucheon-si 14662, Korea.

Entropy (Basel) ; 23(4)2021 Apr 11.

Article in En | MEDLINE | ID: mdl-33920417

Key words

coyote optimization algorithm; fault diagnosis; generalized refined composite multiscale sample entropy; intrinsic time-scale decomposition; rolling bearing; signal denoising

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