Research on early fault detecting for wheelset of high-speed train based on metal magnetic memory method

Abstract

The detection of train safety is an important research topic for railway locomotive and vehicle engineering. Wheelsets are key components of high-speed train bogies. The traditional detection method can only diagnose macroscopic structural defects, and it is not suitable for the diagnosis of microscopic defects and status tracking in the operation process. In order to achieve rapid identification of early failures and life prediction of wheelsets, in light of the shortcomings of traditional test methods in early detection and dynamic detection, a new system of dynamic detection is proposed to meet the safety requirements of train operations. This paper also conducts a large number of experimental studies on the relationship between magnetic memory signals and the loading conditions of the material. The results show that in the 50~150 kN load range, the magnetic memory signal of the experimental workpiece changes monotonously, and the change trend is obvious; after fatigue loading, the original values of the magnetic memory signal and the signal characteristics of gradient and kurtosis both have some change, and the kurtosis changes more obviously, which can effectively reflect the fatigue state of the material. The use of metal magnetic memory technology for wheelset early failure detection and dynamic detection has important practical significance in ensuring the safety of the train, and provides reference for its application in non-destructive testing.

Keywords

• railway rolling stock engineering
• high speed train
• safety test
• wheelset material
• metal magnetic memory method
• early failure