Diagnosis of rolling element bearing based on multifractal detrended fluctuation analyses and continuous hidden markov model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials
Link
https://link.springer.com/content/pdf/10.1007/s12206-021-0705-y.pdf
Reference39 articles.
1. J. M. Li et al., An enhanced rolling bearing fault detection method combining sparse code shrinkage denoising with fast spectral correlation, ISA Transactions, 102 (2020) 335–346.
2. F. Jiang et al., Sparse dictionary design based on edited cepstrum and its application in rolling bearing fault diagnosis, Journal of Sound and Vibration, 490 (2021) 115704.
3. D. Z. Zhao et al., Signal optimization based generalized demodulation transform for rolling bearing nonstationary fault characteristic extraction, Mechanical Systems and Signal Processing, 134 (2019) 106297.
4. L. Xu, S. Chatterton and P. Pennacchi, Rolling element bearing diagnosis based on singular value decomposition and composite squared envelope spectrum, Mechanical Systems and Signal Processing, 148 (2021) 107174.
5. S. Khatir and M. A. Wahab, Fast simulations for solving fracture mechanics inverse problems using POD-RBF XIGA and Jaya algorithm, Engineering Fracture Mechanics, 205 (2019) 285–300.
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