Based on Stochastic Resonance to Enhance Micro-Fault Signal Features
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/s11668-023-01678-9.pdf
Reference37 articles.
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3. S. Wang, P. Niu, Y. Guo et al., Early diagnosis of bearing faults using decomposition and reconstruction stochastic resonance system. Measurement. 158, 107709 (2020). https://doi.org/10.1016/j.measurement2020.107709
4. L. Xu, S. Chatterton, P. Pennacchi, Rolling element bearing diagnosis based on singular value decomposition and composite squared envelope spectrum. Mech. Syst. Signal Process. 148, 107174 (2021). https://doi.org/10.1016/j.ymssp.2020.107174
5. Z. Wang, N. Yang, N. Li et al., A new fault diagnosis method based on adaptive spectrum mode extraction. Struct. Health Monit. 20(6), 3354–3370 (2021). https://doi.org/10.1177/147592172098694
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