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JITL-MBN: A Real-Time Causality Representation Learning for Sensor Fault Diagnosis of Traction Drive System in High-Speed Trains

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS(2024)

Cited 125|Views72
Key words
Fault diagnosis,Training,Real-time systems,Feature extraction,Correlation,Support vector machines,Principal component analysis,Bayesian network (BN),fault diagnosis,high-speed train,just-in-time learning (JITL),traction drive system (TDS)
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