Rolling bearing fault diagnosis using multisynchrosqueezing transform under time-varying conditions
Author:
Affiliation:
1. School of Mechanical Engineering, Tongji University,Shanghai,China
2. Pinghu Laboratory,Zhejiang,China
3. State Key Laboratory of Large, Electric Drive System and Equipment Technology,Gansu,China
4. Tongji University,Shanghai,China
Funder
National key research and development program
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10458411/10458442/10458584.pdf?arnumber=10458584
Reference13 articles.
1. Bearing fault diagnosis based on multi-scale permutation entropy and adaptive neuro fuzzy classifier
2. Induction motor stator current analysis for planetary gearbox fault diagnosis under time-varying speed conditions
3. Diagnosis of Induction Machines' Rotor Faults in Time-Varying Conditions
4. Bearing Fault Diagnosis of a PWM Inverter Fed-Induction Motor Using an Improved Short Time Fourier Transform
5. Wavelets for fault diagnosis of rotary machines: A review with applications
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