An on-board detection framework for polygon wear of railway wheel based on vibration acceleration of axle-box

• It exploits the vertical axle-box vibration acceleration signal that it is helpful to simplify hardware of monitoring system high-speed train. The proposed angular synchronous average technique perfectly enhances fault-related wheel polygon wear by mitigating asynchronous coherent and random background noise. method can detect order rough degree railway polygonization fault in real-time. (PWRW) a ubiquitous vehicles. PWRW induce strong periodic excitation both vehicle track, which not only decreases passenger comfort but also detrimental operational reliability safety. Both are important parameters used quantify fault. Because components distribute at wide range frequency domain, easy alias with some radiated vibrations from track components, makes on-board detection for very difficult. To address practical engineering problem, this paper proposes framework based on angle domain averaging (ADSAT). employs (ABVA), obtain be monitor conditions bearings. compares traditional methods. results reveal achieves cannot, mitigates influence feasibility effectiveness improve accuracy demonstrated through simulation real field investigations.