Failure of wheels is a significant obstacle to the smooth operation of railway vehicles.TADS technology can be used to detect problems with running components,like wheel failure.Due to the imposed interference with the noise signal of the wheel unit,it becomes challenging to distinguish wheel fault signals,resulting in false alarms and misjudgments of wheel faults.Therefore,it is imperative to locate and distinguish the source of fault noise.TADS perform data analysis by referring to the binaural multi-motion sound source localization technique based on close-range microphone,which is widely used in medical field.Due to the characteristics of fast moving speed and challenging capture of sound sources in TADS detection,a moving sound source localization model is established for railway vehicle dynamic detection using the short-pitch acoustic array of TADS,spectral kurtosis,Gammatone filter,energy operator and other technologies and means.This approach permits the tracking and localization of fast-moving audio signals.The efficacy of the moving sound source localization model has been validated through the analysis of actual cases,and the movement trajectory of a fast-moving sound source is readily available.The sound source's characteristics can be found by comparing its movement with its theoretical trajectory.This can help diagnose problems with wheels.
关键词
能量算子/谱峭度/Gammatone滤波器/TADS/运动声源定位/铁道车辆/车轮故障
Key words
energy operator/spectral kurtosis/Gammatone filter/TADS/moving sound source localization/railway rolling stock/wheel failure
维普
万方数据