Abstract: For the business needs of fault diagnosis and prediction of high-speed railway EMU components, this paper relied on the EMU prognostic and health management system, built an intelligent operation and maintenance data analysis system of high-speed railway EMU in the intelligent operation and maintenance algorithm research platform of high-speed railway EMU based on artificial intelligence. The paper introduced the architecture of the intelligent operation and maintenance algorithm research platform for high-speed railway EMU, the data processing flow and key algorithms of the intelligent operation and maintenance data analysis system for high-speed railway EMU, took the passenger compartment air conditioning of high-speed railway EMU as an example, selected the relevant sensor data of passenger compartment air conditioning for data analysis, obtained the characteristics that affect the health status of passenger compartment air conditioning, and marked the health data of the clustering results as the basis for the development of health assessment model of passenger compartment air conditioning.