An Enhanced Intrinsic Time-Scale Decomposition Method Based on Adaptive Lévy Noise and Its Application in Bearing Fault Diagnosis

An Enhanced Intrinsic Time-Scale Decomposition Method Based on Adaptive Lévy Noise and Its Application in Bearing Fault Diagnosis

When early failures in rolling bearings occur, we need to be able to extract weak fault characteristic frequencies under the influence of strong noise and then perform fault diagnosis. Therefore, a new method is proposed: complete ensemble intrinsic time-scale decomposition with adaptive Lévy noise...

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Bibliographic Details
Main Authors:	Jianpeng Ma, Shi Zhuo, Chengwei Li, Liwei Zhan, Guangzhu Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2021-04-01
Series:	Symmetry
Subjects:	rolling bearing adaptive signal processing feature extraction optimization algorithm fault diagnosis
Online Access:	https://www.mdpi.com/2073-8994/13/4/617

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