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

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摘要针对滚动轴承疲劳损伤初期声发射信号微弱而易湮没于噪声中难以有效检测的问题，提出一种基于二次相关加权阈值的声发射信号小波包降噪算法。通过计算原始信号各小波包分解成分自相关函数与噪声自相关函数的互相关系数（二次相关），对“3 ”阈值加权得到小波包分层阈值，实现对声发射信号的降噪。仿真分析与实测声发射信号分析表明，该方法能够有效去除干扰噪声，凸显声发射冲击信号。

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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.

Key words： rolling bearing acoustic emission wavelet packet noise reduction quadratic correlation

收稿日期: 2014-12-19 出版日期: 2015-11-15

引用本文:

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.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2015/V34/I21/175

[1] 陈进. 机械设备故障诊断技术及其应用[M], 上海: 上海高教电子音像出版社, 2003.
CHEN Jin. Fault diagnosis technology and its application on equipment[M], Shanghai: Shanghai Higher Education Electronic Audiovisual Press, 2003.
[2] Abdullah M. Al-Ghamd, D. Mba. A comparative experimental study on the use of Acoustic Emission and vibration analysis for bearing defect identification and estimation of defect size[M]. Mechanical Systems and Signal Processing, 2006, 20(7): 1537-1571.
[3] David He, Ruoyu Li, Eric Bechhoefer. Split Torque Type Gearbox Fault Detection using Acoustic Emission and Vibration Sensors[C]. Sensing and Control, 2010: 10-12.
[4] 李修文, 阳建宏, 黎敏, 徐金梧. 基于频域形态滤波的低速滚动轴承声发射信号降噪新方法[J]. 振动与冲击, 2013, 32(1): 65-68.
LI Xiu-wen, YANG Jian-hong, LI Min, XU Jin-wu. A new de-noising method for acoustic emission signal of rolling bearings with low speed based on morphological filtering in frequency domain[J]. Journal of Vibration and Shock, 2013, 32(1): 65-68.
[5] 李孟源, 尚振东, 蔡海超, 董冠强. 声发射检测及信号处理[M]. 北京: 科学出版社, 2010.
LI Meng-yuan, SHANG Zhen-dong, CAI Hai-chao, DONG Guan-qiang. Detection and signal processing with acoustic emission[M]. Beijing: Science Press, 2010.
[6] 伍健荣, 李隽颖, 刘海涛. 时频降噪在图像序列事件检测中的应用[J]. 吉林大学学报, 2012, 42(5): 1273-1279.
WU Jian-rong, LI Jun-ying, LIU Hai-tao. Temporal-frequency denoising application in event detection base on image sequences[J]. Journal of Jilin University, 2012, 42(5): 1273-1279.
[7] 隋文涛, 张丹. 基于峭度的阈值降噪方法及在振动信号分析中应用[J]. 振动与冲击, 2013, 32(7): 155-158.
SUI Wen-tao, ZHANG Dan. Kurtosis-based threshold denoising method and its application in vibration signal analysis[J]. Journal of Vibration and Shock, 2013, 32(7): 155-158.
[8] 李文, 刘霞, 段玉波, 姚建红, 刘继承, 潘洪屏. 基于小波熵与相关性相结合的小波模极大值地震信号去噪[J]. 地震学报, 2012, 34(6): 841-850.
LI Wen, LIU Xia, DUAN Yu-bo, YAO Jian-hong, LIU Ji-cheng, PAN Hong-ping. Wavelet modulus maxima denoising of seismic signals based on combined wavelet entropy and correlation[J]. Acta Seismologica Sinica, 2012, 34(6): 841-850.
[9] Coifman R R, Meyer Y, Quake S. Signal Processing and Compression with wavelet packets [C]. Proceedings of the Conference on Wavelets, 1989: 363-379
[10] 赵联春, 马家驹, 刘雪峰. 低噪声轴承异音的小波包分析法[J]. 中国机械工程, 2004, 15(2): 115-118.
ZHAO Lian-chun, MA Jia-ju, LIU Xue-feng. Wavelet Packet Analysis of Abnormal Noises of Low Noise Rolling Bearings[J]. China Mechanical Engineering, 2004, 15(2): 115-118.
[11] 李寅寅, 徐晓苏, 刘锡祥. 基于小波包阈值处理的GPS软件接收机跟踪结果降噪算法[J]. 中国惯性技术学报, 2011, 19(4): 433-435.
LI Yin-yin, XU Xiao-su, LIU Xi-xiang. De-noising method for tracking results of GPS software receiver based on wavelet packet soft-threshold algorithm[J]. Journal of Chinese Inertial Technology, 2011, 19(4): 433-435.
[12] 孟宗, 李姗姗. 基于小波改进阈值去噪和HHT的滚动轴承故障诊断[J]. 振动与冲击, 2013, 32(14): 204-208.
MENG Zong, LI Shan-shan. Rolling bearing fault diagnosis based on improved wavelet threshold de-noising method and HHT[J]. Journal of Vibration and Shock, 2013, 32(14): 204-208.
[13] 胡昌华, 张军波, 夏军, 张伟. 基于Matlab的系统分析与设计-小波分析[M]. 西安: 西安电子科技大学出版社, 1999.
HU Chang-hua, ZHANG Jun-bo, XIA Jun, ZHANG Wei. System analysis and design based on Matlab-Wavelet Analysis[M]. Xian: Xidian University Press, 1999.
[14] 周品. Matlab概率与数理统计[M]. 北京: 清华大学出版社, 2012.
ZHOU Pin. Probability and mathematical statistics on Matlab[M]. Beijing: Tsinghua University Press, 2012.
[15] 臧玉萍, 张德江, 王维正. 小波分层阈值降噪法及其在发动机振动信号分析中的应用[J]. 振动与冲击, 2009, 28(8): 57-60.
ZANG Yu-ping, ZHANG De-jiang, WANG Wei-zheng. Per-level threshold de-noising method using wavelet and its application in engine vibration analysis[J]. Journal of vibration and shock, 2009, 28(8): 57-60.
[16] T. A. Harris, M. N. Kotzalas. Essential Concepts of Bearing Technology[M]. London: Taylor & Francis Group, 2006.