Abstract: Chinese EMU has got more and more tourists’ favor for its high speed, comfort and convenience. Passenger volume has increased year by year. In the case of limited number of EMU, EMU operating pressure is also growing. How to ensure EMU running safety in the terms of high-density use has become an important research topic. From the data point of view, this article used the method of data fusion to evaluate the health status of real-time EMU, analyzed the operation characteristics of EMU and the status of existing monitoring data, selected feature vectors, performed data fusion, and finally got the health index of the EMU. It was proved that the health index could reflect the health status of the EMU in real time, and has practical significance for ensuring EMU operation safety.