Abstract

The upcoming comprehensive operation and maintenance period of high-speed railway (HSR) in China is being severely challenged by the existing reactive maintenance of a traction power supply system (TPSS). In this article, an intelligent proactive maintenance system (IPMS) is presented for supporting the field maintenance work of the HSR TPSS. The IPMS is essentially a distributed platform integrated with well-designed hardware and software. Under the conceptual framework imitating the biological immune system, two core functionalities of the IPMS—health assessment and maintenance decision—are designed. Based on the presented hardware architecture and software algorithms, a prototype of the IPMS is developed and has already been put into operation in Beijing–Shenyang HSR. With the help of the IPMS, massive data in the TPSS can be efficiently managed, and the health status of each equipment can be precisely perceived. Most importantly, it provides maintenance supervisor and maintenance personnel with the optimal maintenance strategies, to facilitate appropriate and efficient maintenance activities, and hence to significantly save the maintenance time and cost, by its field application in the HSR TPSS.

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