Improved multi-scale entropy and it's application in rolling bearing fault feature extraction

Author:

Zhao Dongfang,Liu Shulin,Gu Dan,Sun Xin,Wang Lu,Wei Yuan,Zhang Hongli

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference38 articles.

1. An enhanced Kurtogram method for fault diagnosis of rolling element bearings;Wang;Mech. Syst. Signal Process.,2013

2. A novel switching unscented Kalman filter method for remaining useful life prediction of rolling bearing;Cui;Measurement,2019

3. Sparsity-based algorithm for detecting faults in rotating machines;He;Mech. Syst. Signal Process.,2016

4. Li H, Yang TF, Wu X. et al., Bearing fault feature extraction based on optimized emd by adaptive resonance, in: Proceedings of the 9th International Conference on Modelling, Identification and Control (ICMIC 2017), IEEE, 2017, 320–325.

5. Vision-based system for simultaneous monitoring of shaft rotational speed and axial vibration using non-projection composite fringe pattern;Zhong;Mech. Syst. Signal Process.,2019

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