A Novel Fault Diagnosis Approach for Rolling Bearing Based on CWT and Adaptive Sparse Representation

Yuan, Xing; Zhang, Huijie; Liu, Hui; Tang, ed., Gang

doi:10.1155/2022/9079790

A Novel Fault Diagnosis Approach for Rolling Bearing Based on CWT and Adaptive Sparse Representation

Journal Article · Tue Mar 01 00:00:00 EST 2022 · Shock and Vibration

DOI:https://doi.org/10.1155/2022/9079790· OSTI ID:1846858

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State Key Laboratory for Manufacturing System Engineering, Xi’an Jiaotong University, Xi’an, China

Extraction and enhancement of weak impulse signature is the key of rolling bearing fault prognostics in which case the features are often weak and covered by noise. Tunable Q-factor wavelet transform (TQWT), as an emerging wavelet construction theory developed in a frequency domain explicitly, has the advantages of matching with the specific oscillation behavior of signal components. In this article, an adaptive sparse representation (ASR) method is proposed, which integrates the sparse code shrinkage (SCS) and parameter optimization into TQWT. However, direct application of ASR is difficult to extract fault signatures at the early stage or low-speed operation due to weak fault symptoms and background noise. A novel fault diagnosis strategy based on continuous wavelet transform (CWT) and ASR is investigated. CWT owns significant advantages on multiscale subdivision and weak signal detection. The results of simulated and experimental vibration signal analyses verify the effectiveness of the proposed method in accurately extracting weak impulse features from the noise environment.

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Sponsoring Organization:: USDOE Office of Electricity (OE), Advanced Grid Research & Development. Power Systems Engineering Research

OSTI ID:: 1846858

Journal Information:: Shock and Vibration, Journal Name: Shock and Vibration Vol. 2022; ISSN 1070-9622

Publisher:: Hindawi Publishing CorporationCopyright Statement

Country of Publication:: Egypt

Language:: English

References (25)

Feature Extraction Based on Morlet Wavelet and its Application for Mechanical Fault Diagnosis Lin, Jing; Qu, Liangsheng Journal of Sound and Vibration, Vol. 234, Issue 1 https://doi.org/10.1006/jsvi.2000.2864	journal	June 2000
Cyclostationary Analysis of Rolling-Element Bearing Vibration Signals Antoniadis, I.; Glossiotis, G. Journal of Sound and Vibration, Vol. 248, Issue 5 https://doi.org/10.1006/jsvi.2001.3815	journal	December 2001
Tunable Q-factor wavelet transform denoising with neighboring coefficients and its application to rotating machinery fault diagnosis He, WangPeng; Zi, YanYang; Chen, BinQiang Science China Technological Sciences, Vol. 56, Issue 8 https://doi.org/10.1007/s11431-013-5271-9	journal	June 2013
Cyclostationary modelling of rotating machine vibration signals Antoni, J.; Bonnardot, F.; Raad, A. Mechanical Systems and Signal Processing, Vol. 18, Issue 6 https://doi.org/10.1016/S0888-3270(03)00088-8	journal	November 2004
Sparsity-enhanced signal decomposition via generalized minimax-concave penalty for gearbox fault diagnosis Cai, Gaigai; Selesnick, Ivan W.; Wang, Shibin Journal of Sound and Vibration, Vol. 432 https://doi.org/10.1016/j.jsv.2018.06.037	journal	October 2018
Early fault detection of single-point rub in gas turbines with accelerometers on the casing based on continuous wavelet transform Silva, Alejandro; Zarzo, Alejandro; Machuca González, Jacobo Manuel Journal of Sound and Vibration, Vol. 487 https://doi.org/10.1016/j.jsv.2020.115628	journal	November 2020
Multi-fault diagnosis of gearbox based on resonance-based signal sparse decomposition and comb filter Zhang, Dingcheng; Yu, Dejie Measurement, Vol. 103 https://doi.org/10.1016/j.measurement.2017.03.006	journal	June 2017
Resonance-based signal decomposition: A new sparsity-enabled signal analysis method Selesnick, Ivan W. Signal Processing, Vol. 91, Issue 12 https://doi.org/10.1016/j.sigpro.2010.10.018	journal	December 2011
Wavelets for fault diagnosis of rotary machines: A review with applications Yan, Ruqiang; Gao, Robert X.; Chen, Xuefeng Signal Processing, Vol. 96 https://doi.org/10.1016/j.sigpro.2013.04.015	journal	March 2014
The spectral kurtosis: a useful tool for characterising non-stationary signals Antoni, Jérôme Mechanical Systems and Signal Processing, Vol. 20, Issue 2 https://doi.org/10.1016/j.ymssp.2004.09.001	journal	February 2006
The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines Antoni, Jérôme; Randall, R. B. Mechanical Systems and Signal Processing, Vol. 20, Issue 2 https://doi.org/10.1016/j.ymssp.2004.09.002	journal	February 2006
The enhancement of fault detection and diagnosis in rolling element bearings using minimum entropy deconvolution combined with spectral kurtosis Sawalhi, N.; Randall, R. B.; Endo, H. Mechanical Systems and Signal Processing, Vol. 21, Issue 6 https://doi.org/10.1016/j.ymssp.2006.12.002	journal	August 2007
Rolling element bearing diagnostics—A tutorial Randall, Robert B.; Antoni, Jérôme Mechanical Systems and Signal Processing, Vol. 25, Issue 2 https://doi.org/10.1016/j.ymssp.2010.07.017	journal	February 2011
Sparsity-enabled signal decomposition using tunable Q-factor wavelet transform for fault feature extraction of gearbox Cai, Gaigai; Chen, Xuefeng; He, Zhengjia Mechanical Systems and Signal Processing, Vol. 41, Issue 1-2 https://doi.org/10.1016/j.ymssp.2013.06.035	journal	December 2013
Multi-fault diagnosis for rolling element bearings based on ensemble empirical mode decomposition and optimized support vector machines Zhang, Xiaoyuan; Zhou, Jianzhong Mechanical Systems and Signal Processing, Vol. 41, Issue 1-2 https://doi.org/10.1016/j.ymssp.2013.07.006	journal	December 2013
Mechanical model development of rolling bearing-rotor systems: A review Cao, Hongrui; Niu, Linkai; Xi, Songtao Mechanical Systems and Signal Processing, Vol. 102 https://doi.org/10.1016/j.ymssp.2017.09.023	journal	March 2018
Blind filters based on envelope spectrum sparsity indicators for bearing and gear vibration-based condition monitoring Peeters, Cédric; Antoni, Jérôme; Helsen, Jan Mechanical Systems and Signal Processing, Vol. 138 https://doi.org/10.1016/j.ymssp.2019.106556	journal	April 2020
A fault information-guided variational mode decomposition (FIVMD) method for rolling element bearings diagnosis Ni, Qing; Ji, J. C.; Feng, Ke Mechanical Systems and Signal Processing, Vol. 164 https://doi.org/10.1016/j.ymssp.2021.108216	journal	February 2022
A kurtosis-guided adaptive demodulation technique for bearing fault detection based on tunable-Q wavelet transform Luo, Jiesi; Yu, Dejie; Liang, Ming Measurement Science and Technology, Vol. 24, Issue 5 https://doi.org/10.1088/0957-0233/24/5/055009	journal	April 2013
Ideal spatial adaptation by wavelet shrinkage Donoho, David L.; Johnstone, Iain M. Biometrika, Vol. 81, Issue 3 https://doi.org/10.1093/biomet/81.3.425	journal	September 1994
De-noising by soft-thresholding Donoho, D. L. IEEE Transactions on Information Theory, Vol. 41, Issue 3 https://doi.org/10.1109/18.382009	journal	May 1995
Weighted Cyclic Harmonic-to-Noise Ratio for Rolling Element Bearing Fault Diagnosis Mo, Zhenling; Wang, Jianyu; Zhang, Heng IEEE Transactions on Instrumentation and Measurement, Vol. 69, Issue 2 https://doi.org/10.1109/tim.2019.2903615	journal	February 2020
Wavelet Transform With Tunable Q-Factor Selesnick, Ivan W. IEEE Transactions on Signal Processing, Vol. 59, Issue 8 https://doi.org/10.1109/tsp.2011.2143711	journal	August 2011
Mechanical Fault Detection Based on the Wavelet De-Noising Technique Lin, Jing; Zuo, Ming J.; Fyfe, Ken R. Journal of Vibration and Acoustics, Vol. 126, Issue 1 https://doi.org/10.1115/1.1596552	journal	January 2004
Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation Hyvärinen, Aapo Neural Computation, Vol. 11, Issue 7 https://doi.org/10.1162/089976699300016214	journal	October 1999

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