Advanced cyclostationary-based analysis for condition monitoring of complex systems
Author:
Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8537458/8552938/08553568.pdf?arnumber=8553568
Cited by 4 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. Applications of robust statistics for cyclostationarity detection in non-Gaussian signals for local damage detection in bearings;Mechanical Systems and Signal Processing;2024-05
2. A Rolling Bearing Fault Diagnosis Method via 2D Feature Map of CSCoh After Denoising and MSCNN Under Different Conditions;Journal of Vibration and Control;2023-03-07
3. Health Condition Estimation of Bearings with Multiple Faults by a Composite Learning-Based Approach;Sensors;2021-06-28
4. A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks;Mechanical Systems and Signal Processing;2020-06
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