Condition Monitoring Method for Heatsink of Traction Inverter Using ANN and OWD

This article proposes a novel condition monitoring method for heatsink of traction inverter of urban rail train by detecting the change of temperature dynamic curves. Artificial neural network is used to predict the reference curves of healthy state under various working conditions, and the differences between temperature dynamic curves are extracted by one-way distance algorithm. This method is suitable for the condition monitoring of heatsink of urban rail train, because first it meets the diversity of operation conditions and nonthermal equilibrium state of traction inverter. Moreover, its implementation does not cause intrusion to the original system, and can realize online monitoring. Finally, the effectiveness is experimentally verified.