Acoustic emission diagnosis method of bearing faults based on improved Teager energy envelope and EWT
LI Yun
YU Yang
YANG Ping
Abstract：[Objective]Aiming at the problems of low signal-to-noise ratio and difficulty in extracting fault features from acoustic emission signals of rolling bearing early faults,a fault feature extraction method combining improved Teager energy envelope and empirical wavelet transform(EWT)was proposed.[Methods]In this method,the impact characteristics of bearing fault acoustic emission signals were highlighted through improved Teager energy envelope processing.The empirical wavelet transform was applied to decompose the improved Teager energy envelope sequence.Components were screened and reconstructed using the empirical wavelet kurtosis index,and then the envelope analysis was performed on the reconstructed acoustic emission signals.[Results]Simulation and test results show that this method can effectively suppress noise,enhance fault elastic waves,and accurately extract the frequency characteristics of bearing fault acoustic emission signals.
Keywords：Acoustic emissionBearingTeager energyEmpirical wavelet transformFault diagnosis
Publication Date：2025-09-15
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：8( 143-150 )