An adaptive underdamped stochastic resonance based on NN and CS for bearing fault diagnosis
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
http://link.springer.com/content/pdf/10.1007/s13198-019-00816-7.pdf
Reference33 articles.
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2. Chi K, Kang J, Zhang X, Yang Z (2018) Bearing fault diagnosis based on stochastic resonance with cuckoo search. Int J Perform Eng 14(3):413–424. https://doi.org/10.23940/ijpe.18.03.p2.413424
3. Gammaitoni L, Hänggi P, Jung P, Marchesoni F (1998) Stochastic resonance. Rev Mod Phys 70(1):223–287. https://doi.org/10.1103/RevModPhys.70.223
4. Gu X, Chen C (2017) Rolling bearing fault signal extraction based on stochastic resonance-based denoising and vmd. Int J Rotating Mach 2017:1–12. https://doi.org/10.1155/2017/3595871
5. Kim H, Tai WC, Parker J, Zuo L (2019) Self-tuning stochastic resonance energy harvesting for rotating systems under modulated noise and its application to smart tires. Mech Syst Sig Process 122:769–785. https://doi.org/10.1016/j.ymssp.2018.12.040
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