机械科学与技术2024，Vol.43Issue(2)：344-350,7.DOI:10.13433/j.cnki.1003-8728.20220206
采用轮轨振动加速度信号对车轮扁疤的识别研究
Study on Recognition of Wheel Flat Scars Using Acceleration Signal of Wheel-rail Vibration
摘要
Abstract
Early detecting of wheel flat and tracking development process are important contents for the rail transit fault intelligent identification system.Current work emphasizes the impact of wheel flat excitation on vehicle and track system components,and how to determine the safety limit of the scar to ensure driving safety,lack of research on the recognition mechanism of wheel flat.Therefore,in terms of the vehicle-track coupled dynamics theory,the dynamic response of vehicle system and track system under wheel flat excitation is obtained by using the dynamic simulation.Using wavelet packet decomposition,the energy values of vertical vibration acceleration of different components are extracted as the evaluation indexes,and the evaluation method of wheel flat impact response is studied from the perspective of energy characteristics.The acceleration time domain the signal eigenvalue and energy eigenvalue of the vehicle body,frame,axle box,wheelset and rail are compared and analyzed by considering three excitation states of wheel-rail irregularity,random irregularity and superimposed roughness.It is found that there is a linear increasing relationship between the wavelet packet energy of the rail and the flat depth,the wheel flat only affects the wavelet packet energy of identical side rail.Therefore,the wavelet packet energy of the rail vibration response can be used to detect the wheel flat.关键词
智能识别/小波包分解/车辆-轨道耦合动力学/扁疤检测Key words
intelligent recognition/wavelet packet decomposition/vehicle-track coupling dynamics/flat detection分类
矿业与冶金引用本文复制引用
杨丽蓉,和振兴,王开云,刘旭麒,曹子勇..采用轮轨振动加速度信号对车轮扁疤的识别研究[J].机械科学与技术,2024,43(2):344-350,7.基金项目
国家自然科学基金项目(52162047)、牵引动力国家重点实验室开放课题(TPL1902)及甘肃省科技计划项目(20JR5RA393) （52162047）
