Intelligent Fault Detect on Railway Power Supply System
Program: Dependability
Researcher: Yuan Fuqing
The power supply system is crucial to the operation of electrified railway line. This research aims to detect the undergoing defect before serious failure occurs. Machine learning algorithm such as Support Vector Machine (SVM) is used to model the interaction between some sub-systems such as overhead contact line and pantograph in the power supply system. Efficient signal processing technique is used to extract the salient features which characterize system from time and frequency domain. The results of the research will be further used to optimize the maintenance policy, and therefore can reduce cost and improve the railway availability.
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