doi:10.16186/j.cnki.1673-9787.2020.4.11

Received:2020/01/04

Revised:2020/02/12

Published:2020/07/15

Rolling bearing fault diagnosis method based on SSD and Teager energy operator

TANG Guiji1, LI Nannan1, WANG Xiaolong1, LI Chen2

1.Department of Mechanical Engineering， North China Electric Power University ，Baoding  071003 ， Hebei， China；2.Xi’an Thermal Power Research Institute， Xi’an  710000 ， Shaanxi， China

Abstract:Aiming at the problem that the early fault shock signals of rolling bearings are difficult to extract，a fault diagnosis method based on singular spectrum decomposition （SSD） and Teager energy operator was proposed. Firstly，SSD was used to decompose the fault signal into a set of singular spectrum components （SSC）of different frequency bands. Then the optimal SSC component was selected according to the Kurtosis criterion，and the Teager energy operator was used to calculate the instantaneous energy signal of the component and Fourier analysis was performed to obtain the Teager energy spectrum of the signal. Finally，the fault characteristic frequency was extracted according to the energy spectrum. The proposed method was applied in simulated signals and rolling bearing measured signals， and compared with the envelope spectrum，EMD and EEMD methods. The results showed that the proposed method could effectively demodulate the fault feature information，accurately identify the bearing fault type，and the diagnostic effect was better.

Key words:singular spectrum decomposition;Teager energy operator;fault diagnosis;rolling bearing

基于SSD和Teager能量算子的滚动轴承故障诊断方法_唐贵基.pdf