Deep Multi-adversarial Conditional Domain Adaptation Networks for Fault Diagnostics of Industrial Equipment
Author:
Affiliation:
1. Department of Energy, Politecnico di Milano, Milan, Italy
2. Centre de Recherche sur les Risques et les Crises (CRC), Mines ParisT-PSL, Sophia Antipolis, France
Funder
China Scholarship Council
Reliable Energy and Cost-Efficient Traction system for Railway
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/4389054/09950461.pdf?arnumber=9950461
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