Study of EMU Train Prognostic and Health Management System Based on Big Data Technology

Abstract

This paper mainly discusses the construction and application of EMU train Prognostic and Health Management System (PHM) based on big data technology. Take clustering algorithm for example, which is one of the commonly used data mining algorithm, to explore predictive maintenance of bogie system’s axle temperature. Based on this research, we attempt to point out this system’s significance for EMU train's operation safety.