Application of improved wavelet total variation denoising for rolling bearing incipient fault diagnosis
Author:
Publisher
IOP Publishing
Subject
General Medicine
Link
http://stacks.iop.org/1757-899X/372/i=1/a=012030/pdf
Reference21 articles.
1. A joint sparse wavelet coefficient extraction and adaptive noise reduction method in recovery of weak bearing fault features from a multi-component signal mixture
2. Feature extraction of rolling bearing’s early weak fault based on EEMD and tunable Q-factor wavelet transform
3. Multivariate empirical mode decomposition and its application to fault diagnosis of rolling bearing
4. Early fault detection in automotive ball bearings using the minimum variance cepstrum
5. Fast computation of the kurtogram for the detection of transient faults
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Incipient Bearing Fault Diagnosis Based on the Two-State Theory for Stochastic Resonance Systems;IEEE Transactions on Instrumentation and Measurement;2023
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