Incipient Fault Detection of CRH Suspension system Based on PRPCA and Wasserstein Distance
Author:
Affiliation:
1. College of Automation, Jiangsu University of Science and Technology,Zhenjiang,P. R. China,212100
2. School of Computer Science and Engineering, Jiangsu University of Science and Technology,Zhenjiang,P. R. China,212100
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10241008.pdf?arnumber=10241008
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1. Using SVM based method for equipment fault detection in a thermal power plant
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4. Recent advances on SVM based fault diagnosis and process monitoring in complicated industrial processes
5. Data driven approach for fault detection and diagnosis of turbine in thermal power plant using Independent Component Analysis (ICA)
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