An Investigation of Tooth Wear Diagnosis of Gear based on Process Systems Modeling
Targeting the advantages of local wave analysis(LWA) and the characteristics of gear fault vibration signals,LWA is introduced into gear fault diagnosis.The concept of the instantaneous energy in time-frequency analysis,based on local wave time-frequency spectrum,was used to measure the energy distribution of the signal in time-frequency domain.Furthermore,when tooth wear occurs in gear,the energy of the gear vibration signal would change correspondingly,whilst local wave time-frequency spectrum can exactly provide the instantaneous energy distribution of the signal with the change of the time and frequency.Thus,the fault information of the gear vibration signal can be extracted effectively from the local wave time-frequency spectrum.The analysis results from the experimental signals show that local wave time-frequency analysis could extract the characteristics information of the gear fault vibration signal effectively.
systems modeling gear tooth wear local wave analysis Hilbert transform
Fengli Wang Hui Xing
College of Marine Engineering, Dalian Maritime University, Dalian, 116026, P.R.China
国际会议
太原
英文
834-838
2012-06-23（万方平台首次上网日期，不代表论文的发表时间）