A Novel Hybrid Method for Fault Diagnosis of Industrial Equipment Based on Vibration Signals
Author:
Affiliation:
1. Chinese Academy of Sciences,Key Laboratory of Networked Control Systems,Shenyang,China,110169
2. Nuclear Power Institute of China,Chengdu,China,610213
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10482420/10482375/10482746.pdf?arnumber=10482746
Reference19 articles.
1. A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines
2. A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
3. Intelligent bearing fault diagnosis using PCA–DBN framework
4. ANFIS system for prognosis of dynamometer high-speed ball bearing based on frequency domain acoustic emission signals
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