Research on Noise Reduction Method of Rolling Bearing Acoustic Emission Signal Based on Wavelet Packet Transform with Quadratic Correlation Weighting Threshold
WANG Zhi-hai WU Xing LIU Xiao-qin
School of Mechanical Engineering, Kunming University of Science and Technology, Kunming 650500, China
Abstract:Weak acoustic emission (AE) signal of the early stage of fatigue of rolling bearing may be buried in noise, and difficult to detect effectively. According to this problem, a new method is proposed to reduce noise in the AE signal. The method is based on a quadratic correlation weighting threshold of wavelet packet transform. The quadratic correlation is defined as the cross correlation coefficient between autocorrelation functions of wavelet packet decomposition components from the AE signal and noise respectively. The threshold for wavelet packet noise reduction can be obtained by weighting "3σ" with the quadratic correlation coefficient. The analysis of simulated and measured acoustic emission signal shows that this method can effectively remove the interference noise, and highlight the impulses in the acoustic emission signal.
王之海,伍 星,柳小勤. 基于二次相关加权阈值的滚动轴承声发射信号小波包降噪算法研究 [J]. 振动与冲击, 2015, 34(21): 175-178.
WANG Zhi-hai WU Xing LIU Xiao-qin. Research on Noise Reduction Method of Rolling Bearing Acoustic Emission Signal Based on Wavelet Packet Transform with Quadratic Correlation Weighting Threshold. JOURNAL OF VIBRATION AND SHOCK, 2015, 34(21): 175-178.
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