Rotating Machinery Fault Diagnosis Under Time-Varying Speeds: A Review
Author:
Affiliation:
1. Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, China
2. College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10360293/10313245.pdf?arnumber=10313245
Reference210 articles.
1. Intelligent Fault Diagnosis for Planetary Gearbox Using Time-Frequency Representation and Deep Reinforcement Learning
2. A novel denoising strategy based on sparse modeling for rotating machinery fault detection under time-varying operating conditions
3. Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey
4. Novel morphological scale difference filter with application in localization diagnosis of outer raceway defect in rolling bearings
5. Hybrid system response model for condition monitoring of bearings under time-varying operating conditions
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