Condition monitoring for wheel polygonization of rail transit trains: A review

The researches of the monitoring method for the wheel polygonization of rail transit trains are reviewed. Firstly, the dynamic monitoring methods for wheel polygonization are mainly discussed. According to the different installation positions of sensors, the dynamic detection methods can be divided into two types: ground-based and on-board. The ground-based detection methods include the Fiber Bragg Grating detection, wheel-rail force detection, vibration acceleration detection, laser and camera detection, and acoustic emission detection. The on-board detection methods, with a focus on the axle box acceleration detection, are introduced and summarized. In particular, the quantitative diagnosis methods for wheel polygonization are summarized. Then, the principles and the present situation of detection methods are analyzed, and the characteristics and deficiencies of the studied methods are discussed. Finally, the main development directions are prospected. The results show that the existing quantitative identification methods still need to be improved, and the monitoring accuracy and generalization ability should be enhanced. In future, the interference of complex operating factors on wheel polygonization identification are considered, and the quantitative identification methods need to be improved. It is necessary to consider the integration of real-time monitoring methods such as intelligent diagnosis and digital twin, and the prediction of the wheel polygonization will be realized. In addition, it is important to promote the application of the diagnosis methods for wheel polygonization in the equipment.