Abstract: To promote the implementation of condition based maintenance for the rotating parts of locomotive running gear, a health assessment system for the rotating parts of locomotive running gear is established based on the relevant data collected by the online monitoring system of locomotive running gear and the fault diagnosis knowledge accumulated by the expert system of locomotive and vehicle running gear. The multi-dimensional data fusion analysis method is used to complete the health status assessment of the rotating parts of locomotive running gear, and provide health assessment conclusions and maintenance suggestions for the rotating parts. This system has been applied in multiple locomotive depots, and its applicability has been preliminarily verified. It can detect rotating part faults in advance and provide reasonable maintenance suggestions, which is conducive to optimizing locomotive maintenance strategies and laying a technical foundation for achieving locomotive condition maintenance.