Rolling Bearing Fault Diagnostics Using SSA-ELM and TVF-EMD Multi-Scale Entropy

Author:

Song Shuo1,Wu Guangcuan2,Wang Wenbo1

Affiliation:

1. Wuhan University of Science and Technology,Hubei Province Key Laboratory of System Science in Metallurgical Process,Wuhan,China,430081

2. Guangdong Hongtu Wuhan Die Casting Co.,Wuhan,China,430200

Publisher

IEEE

Reference15 articles.

1. Fault diagnosis method of rolling bearing based on Stockwell transform;Kai;Machinery,2019

2. Application of empirical mode decomposition and hilbert spectrum in seismic data denoising and low frequency shadow identification;Parkan;Journal of the Earth and Space Physics,2015

3. Fault diagnosis of gearboxes using wavelet support vector machine, least square support vector machine and wavelet packet transform

4. Compound fault diagnosis for gearbox based on NIC-DWT-WOASVM;Xin;Journal of Vibration and Shock,2020

5. Breakdown Diagnosis of Coal Excavator Based on Optimized Support Vector;Chong;Machine Journal of Shandong Agricultural University (Natural Science Edition),2015

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