Research on Rolling Bearing Diagnosis Based on EEMD and RCMDE Hybrid Algorithm

Author:

Yanyang Li1,Jindong Wang1,Haiyang Zhao1

Affiliation:

1. Northeast Petroleum University,College of Mechanical Science and Engineering,Daqing,China

Publisher

IEEE

Reference18 articles.

1. Fault diagnosis method of rolling bearing based on improved MEEMD and DE-OSELM[J];Jiang;Journal of Zhejiang Normal University(Natural Sciences),2021

2. Bearing fault diagnosis method based on EMD-FastICA and DGA-ELM networks[J];Hu;Acta Energiae Solaris Sinica,2021

3. B-spline empirical mode decomposition endpoint effect suppression method based on neural network integration[J];Meng;Journal of Mechanical Engineering,2013

4. Dynamic modelling of spur gear pair and application of empirical mode decomposition-based statistical analysis for early detection of localized tooth defect

5. Approximate entropy (ApEn) as a complexity measure

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