Rolling Element Bearing Fault Diagnosis Based on the Wavelet Packet Transform and Time-Delay Correlation Demodulation Analysis

Chen Zhang, Junchao Guo, Dong Zhen, Hao Zhang, Zhanqun Shi, Fengshou Gu, Andrew Ball

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Considering fault impulse signals of rolling element bearings have the features of periodicity and easily to be immerged by background noise, a novel fault feature extraction method based on the wavelet packet transform (WPT) and the time-delay correlation demodulation analysis is proposed in this paper. Firstly, the signal-to-noise ratio (SNR) and the root-mean-square error (RMSE) are used as the criterion to select the optimal wavelet packet parameters to enhance the SNR of the vibration signal. Then, the denoised signal is reconstructed for further analysis. Finally, the fault features of the reconstructed signal are extracted using time-delay correlation demodulation analysis. The results show that the fault characteristic frequencies can be extracted with higher accuracy based on the simulation and experimental studies, respectively. It can be concluded that the proposed method has more effectiveness and feasibility for fault diagnosis of rolling element bearing with higher accuracy.

Original languageEnglish
Title of host publicationAdvances in Asset Management and Condition Monitoring, COMADEM 2019
EditorsAndrew Ball, Len Gelman, B.K.N. Rao
PublisherSpringer, Cham
Pages1195-1203
Number of pages9
Volume166
ISBN (Electronic)9783030577452
ISBN (Print)9783030577445
DOIs
Publication statusPublished - 28 Aug 2020
Event32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference - University of Huddersfield, Huddersfield, United Kingdom
Duration: 3 Sep 20195 Sep 2019
Conference number: 32
http://www.comadem2019.com/ (Link to Conference Website)

Publication series

NameSmart Innovation, Systems and Technologies
PublisherSpringer
Volume166
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference
Abbreviated titleCOMADEM 2019
CountryUnited Kingdom
CityHuddersfield
Period3/09/195/09/19
Internet address

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