Health Indicator Construction Method of Bearings Based on Wasserstein Dual-Domain Adversarial Networks Under Normal Data Only
Author:
Affiliation:
1. State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China
2. Department of Mechanics and Engineering Science, College of Engineering, Peking University, Peking, China
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/41/9768205/09732262.pdf?arnumber=9732262
Reference37 articles.
1. Construction of Health Indicators for Rotating Machinery Using Deep Transfer Learning With Multiscale Feature Representation
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5. Anomaly Detection and Fault Prognosis for Bearings
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