Demodulation spectrum analysis for multi-fault diagnosis of rolling bearing via chirplet path pursuit
Author:
Publisher
Springer Science and Business Media LLC
Subject
Metals and Alloys,General Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11771-019-4184-6.pdf
Reference32 articles.
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3. FENG Zhi-peng, CHEN Xiao-wang, WANG Tian-yang. Time-varying demodulation analysis for rolling bearing fault diagnosis under variable speed conditions [J]. Journal of Sound and Vibration, 2017, 400: 71–85. DOI: https://doi.org/10.1016/j.jsv.2017.03.037 .
4. FENG Zhi-peng, LIANG Ming, CHU Fu-lei. Recent advances in time-frequency analysis methods for machinery fault diagnosis: A review with application examples [J]. Mechanical Systems and Signal Processing, 2013, 38(1): 165–205. DOI: https://doi.org/10.1016/j.ymssp.2013.01.017 .
5. WANG Chun-sheng, SHA Chun-yang, SU Mei, HU Yu-kun. An algorithm to remove noise from locomotive bearing vibration signal based on self-adaptive EEMD filter [J]. Journal of Central South University, 2017, 24(2): 478–488. DOI: https://doi.org/10.1007/s11771-017-3450-8 .
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