Application of Combined Normalized Least Mean Square and Ensemble Empirical Mode Decomposition Denoising Method in Fault Diagnosis of Rolling Bearings

Changsheng Xi, Jie Yang, Dong Zhen, Xiaohao Liao, Wei Hu, Fengshou Gu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Rolling bearings are widely used in modern machinery and equipment, and the tough working environment is easy to cause their failure. To solve the problem of extracting fault signals of rolling bearings in a strong noise environment, a method based on Normalized Least Mean Square(NLMS) adaptive filtering and Ensemble Empirical Mode Decomposition(EEMD) noise reduction method is proposed. Firstly, NLMS is used to filter the signal, which is used for primary noise reduction. Then the signal is decomposed into a series of Intrinsic Mode Functions(IMFs) by EEMD, and the kurtosis value, root mean square value and sample entropy value of each IMF are calculated respectively. The appropriate one is selected according to the comprehensive index. Finally, the signal is reconstructed and the Hilbert transform is performed on the reconstructed signal to obtain the envelope spectrum, and the fault characteristic frequency is extracted. Simulation and experimental results show that the method can effectively reduce noise and successfully extract fault features.

Original languageEnglish
Title of host publicationProceedings of IncoME-VI and TEPEN 2021
Subtitle of host publicationPerformance Engineering and Maintenance Engineering
EditorsHao Zhang, Guojin Feng, Hongjun Wang, Fengshou Gu, Jyoti K. Sinha
PublisherSpringer, Cham
Pages629-641
Number of pages13
Volume117
ISBN (Electronic)9783030990756
ISBN (Print)9783030990749
DOIs
Publication statusPublished - 18 Sep 2022
Event6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021 - Hebei University of Technology, Tianjin, China
Duration: 20 Oct 202123 Oct 2021
Conference number: 6
https://tepen.net/conference/tepen2021/

Publication series

NameMechanisms and Machine Science
PublisherSpringer
Volume117
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

Conference6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021
Abbreviated titleTEPEN-2021 and IncoME-VI
Country/TerritoryChina
CityTianjin
Period20/10/2123/10/21
Internet address

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