Early Weak Fault Signal Enhancement and Recognition Method of Rudder Paddle Bearings Based on Parameter Adaptive Stochastic Resonance
Author:
Affiliation:
1. State Key Laboratory Fluid Power and Mechatronic System, Zhejiang University, Hangzhou, China
2. School of Mechanical Engineering, Southeast University, Nanjing, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10374124.pdf?arnumber=10374124
Reference22 articles.
1. Method of fault feature selection and fusion based on poll mode and optimized weighted KPCA for bearings
2. A novel intelligent fault diagnosis method based on dual convolutional neural network with multi-level information fusion
3. An Improved Empirical Mode Decomposition Based on Adaptive Weighted Rational Quartic Spline for Rolling Bearing Fault Diagnosis
4. Rolling element bearing defect diagnosis under variable speed operation through angle synchronous averaging of wavelet de-noised estimate
5. The mechanism of stochastic resonance
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