ZHAO M Y, JING S X, LENG J F, et al.Gear tacho-less order tracking method with CWT-ETVF and SWT and its application[J].Journal of Henan Polytechnic University(Natural Science) ,2023,42(2):98-107.

doi:10.16186/j.cnki.1673-9787.2021070065

Received:2021/07/17

Revised:2021/09/18

Published:2023/03/25

Gear tacho-less order tracking method with CWT-ETVF and SWT and its application

ZHAO Mengyuan, JING Shuangxi, LENG Junfa, SHENG Piao, LUO Chenxu

School of Machine and Power Engineering，Henan Polytechnic University，Jiaozuo 454000，Henan，China

Abstract:For the especially weak fault signal from the variable speed gear，the extraction effect of synchrosqueezing wavelet transform（SWT）tacho-less order tracking method is poor.To solve this problem，a tacho-less order tracking method was proposed to extract gear time-varying and low-frequency fault characteristic.This method combined the advantages of continuous wavelet transform-elliptic time-varying filtering（CWT-ETVF）and SWT.Based on CWT-ETVF and SWT，the instantaneous frequency of the vibration fault signal was estimated to obtain the phase of reference axis.Then，the time-varying signal was transformed by equal angle resampling into the angle domain stationary signal，and its order spectrum analysis and SWT decomposition were performed.Finally，the SWT reconstructed component was selected to analyze its order spectrum and order envelope spectrum，from which the time-varying fault characteristic of the fault gear with a missing tooth was extracted.The effectiveness of this method was demonstrated using simulation and experimental datasets，and it was very suitable for the low-frequency weak fault feature extraction under variable speed operation of gear.

Key words:feature extraction;continuous wavelet transform;elliptic time-varying filtering;synchrosqueezing wavelet transform;order tracking

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