Feature Generating Network With Attribute-Consistency for Zero-Shot Fault Diagnosis
Author:
Affiliation:
1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
2. Department of Engineering, University of Ferrara, Ferrara, Italy
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/9424/10521545/10445136.pdf?arnumber=10445136
Reference33 articles.
1. A Data-Driven Aero-Engine Degradation Prognostic Strategy
2. Extended Relevance Vector Machine-Based Remaining Useful Life Prediction for DC-Link Capacitor in High-Speed Train
3. Pseudo-Label Guided Sparse Deep Belief Network Learning Method for Fault Diagnosis of Radar Critical Components
4. Islanding fault detection based on data-driven approach with active developed reactive power variation
5. Data-driven and deep learning-based detection and diagnosis of incipient faults with application to electrical traction systems
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1. Synergistic TransGCN for Aeroengine Bearing Skidding Diagnosis Under Time-Varying Conditions;IEEE Transactions on Industrial Informatics;2024
2. Mixed Attention Network for Source-Free Domain Adaptation in Bearing Fault Diagnosis;IEEE Access;2024
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