Fault Diagnosis Method for Rolling Element Bearing Based on Enhanced Cross-Correlation Spectrum
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials,Safety, Risk, Reliability and Quality,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s11668-021-01272-x.pdf
Reference24 articles.
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2. Duan J, Shi T, Duan J, et al. Narrowband envelope spectra fusion method for fault diagnosis of rolling element bearings[J]. Measurement ence and Technology, 2018, 29.
3. J. Antoni, Fast computation of the kurtogram for the detection of transient faults[J]. Mech. Syst. Signal Process. 21(1), 108–124 (2007)
4. Xu Y, Tian W, Zhang K, et al. Application of enhanced fast kurtogram based on empirical wavelet transform for bearing fault diagnosis[J]. Measurement Science and Technology, 2018.
5. C. Zhang, Y. Liu, F. Wan et al., Adaptive filtering enhanced windowed correlated kurtosis for multiple faults diagnosis of locomotive bearings[J]. ISA Trans. 101, 421–429 (2020)
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1. Improved Sparse Representation of Rolling Bearing Fault Features Based on Nested Dictionary;Journal of Failure Analysis and Prevention;2022-03-07
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