Fault Diagnosis for Rolling Bearings Based on Fine-Sorted Dispersion Entropy and SVM Optimized with Mutation SCA-PSO.

Fu, Wenlong; Tan, Jiawen; Xu, Yanhe; Wang, Kai; Chen, Tie

Fu, Wenlong; Tan, Jiawen; Xu, Yanhe; Wang, Kai; Chen, Tie.

Affiliation

Fu W; College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China.
Tan J; Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang 443002, China.
Xu Y; College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China.
Wang K; Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang 443002, China.
Chen T; School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

Entropy (Basel) ; 21(4)2019 Apr 16.

Article in En | MEDLINE | ID: mdl-33267118

Key words

fault diagnosis; fine-sorted dispersion entropy; mutation sine cosine algorithm-particle swarm optimization; rolling bearings; support vector machine; variational mode decomposition

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Entropy (Basel) Year: 2019 Type: Article Affiliation country: China

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