Health Condition Identification of Rolling Element Bearing Based on Gradient of Features Matrix and MDDCs-MRSVD
Author:
Affiliation:
1. School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou, China
2. College of Physics and Electromechanical Engineering, Hexi University, Zhangye, China
3. Gansu Computing Center, Lanzhou, China
Funder
National Natural Science Foundation of China
Science and Technology Projects of Gansu Province
Key Laboratory of Cloud Computing of Gansu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09826854.pdf?arnumber=9826854
Reference45 articles.
1. Initial fault time estimation of rolling element bearing by backtracking strategy, improved VMD and infogram
2. A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
3. A summary of fault modelling and predictive health monitoring of rolling element bearings
4. Research on Weak Fault Extraction Method for Alleviating the Mode Mixing of LMD
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