基于声发射信号的滚动轴承外圈疲劳剥落故障双冲击特征提取

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振动与冲击 ›› 2017, Vol. 36 ›› Issue (4) : 1-6.

论文

孙守保，郭瑜，伍星

作者信息 +

Double impulse phenomenon extraction of outer race spalle rolling element bearings based on acoustic emission signals

SUN Shoubao, GUO Yu, WU Xing

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文章历史 +

摘要

疲劳剥落是引起滚动轴承失效的主要原因。跟振动信号一样，当滚道出现疲劳剥落故障时滚动体在进入和退出剥落区时的声发射信号也存在对应的两类不同冲击特征，称为双冲击现象。对双冲击特征的提取可实现双冲击间隔的有效测量。声发射信号具有对早期故障敏感、不易受噪声干扰等优点。本文采用将两类特征分离处理的方法，首先将声发射信号中两类冲击特征分开分为两部分，然后通过AR模型和最小熵解卷积滤波增强故障特征信号，再通过基于复Morlet小波的谱峭度图算法提取优化解调频带对应的包络信号，最后对包络信号相加并进行双冲击间隔测量。实验研究表明，该方法能够有效地分离出滚动轴承外圈疲劳剥落故障声发射信号中的双冲击特征。

Abstract

Spalling is a major type of fatigue failures of rolling element bearings (REB). As the double impulses phenomenon can be observed in the vibration when a rolling element is entering or exiting the spall in the outer race or the inner race of the faulty REB, the double impulses phenomenon can be also observed in the acoustic emission (AE) signals generated by the faulty REB. If the space between the double impulses can be measured accurately, the width of the spall may be estimated. It will be helpful on the evaluation of remaining useful life (RUL) of REBs. The AE signal is more sensitive to the incipient fault and better to realize interferences isolation. Then, the separate treatment is used to extract the double impulses from the AE signal in this paper. In the proposed scheme, the AE signal was separate into two parts (the entering part and the exiting part) at first. Then the autoregressive model and the minimum entropy deconvolution method were used to enhance the two parts, respectively. After that, the complex Morlet wavelet based kurtogram were utilized to extract the optimal envelope, respectively. At last, the extracted envelopes were added together for the space measurement of the two impulses. Experiment analysis indicates that, the double impulse phenomenon can be effectively extracted in the AE signals of outer race spalled rolling element bearings.

导出引用

孙守保，郭瑜，伍星. 基于声发射信号的滚动轴承外圈疲劳剥落故障双冲击特征提取[J]. 振动与冲击, 2017, 36(4): 1-6

SUN Shoubao, GUO Yu, WU Xing. Double impulse phenomenon extraction of outer race spalle rolling element bearings based on acoustic emission signals[J]. Journal of Vibration and Shock, 2017, 36(4): 1-6

参考文献

[1] B. T. Kuhnell, "Wear in rolling element bearings and gears- How age and contamination affect them," Machinery Lubrication, pp. 62-64, 2004.
[2] N. Sawalhi and R. Randall, "Vibration response of spalled rolling element bearings: Observations, si-mulations and signal processing techniques to track the spall size " Mechanical Systems and Signal Processing, vol. 25, pp. 846-870, 2011.
[3] J. R. Matthews, Acoustic emission vol. 2: CRC Press, 1983.
[4] D. Mba, "The use of acoustic emission for estima-tion of bearing defect size," Journal of Failure analysis and prevention, vol. 8, pp. 188-192, 2008.
[5] R. Li and D. He, "Rotational machine health moni-toring and fault detection using EMD-based acous-tic emission feature quantification," Instrumentation and Measurement, IEEE Transactions on, vol. 61, pp. 990-1001, 2012.
[6] F. Hemmati, M. Alqaradawi, and M. S. Gadala, "Rolling element bearing fault diagnostics using acoustic emission technique and advanced signal processing," Proceedings of the Institution of Me-chanical Engineers, Part J: Journal of Engineering Tribology, p. 1350650115591233, 2015.
[7] I. Epps, "An investigation into vibrations excited by discrete faults in rolling element bear-ings[J].University of Canterbury Mechanical Engi-neering,1991.
[8] M. J. Dowling, "Application of non-stationary analysis to machinery monitoring[C]// ICASSP IEEE Computer Society, 1993:59-62.
[9] N. Sawalhi, R. Randall, and H. Endo, "The en-hancement of fault detection and diagnosis in roll-ing element bearings using minimum entropy de-convolution combined with spectral kurtosis," Me-chanical Systems and Signal Processing, vol. 21, pp. 2616-2633, 2007.
[10] N. Sawalhi, "Diagnostics, prognostics and fault simulation for rolling element bearings," The Uni-versity of New South Wales Australia, 2007.
[11] C. Junsheng, Y. Dejie, and Y. Yu, "A fault diagnosis approach for roller bearings based on EMD method and AR model," Mechanical Systems and Signal Processing, vol. 20, pp. 350-362, 2006.
[12] J.-Y. Lee and A. Nandi, "Extraction of impacting signals using blind deconvolution," Journal of Sound and Vibration, vol. 232, pp. 945-962, 2000.
[13] 刘志川, 唐力伟, 曹立军, "基于 MED 及 FSK 的滚动轴承微弱故障特征提取," 振动与冲击, vol. 33, pp. 137-142, 2014.
LIU Zhichuan, TANG Liwei, CAO Lijun.Feature extraction of rolling bearing's weak fault based on MED and FSK[J]. Journal of Vibration and Shock, 2014,33(14):137-142.
[14] N. Sawalhi and R. B. Randall, "Spectral kurtosis optimization for rolling element bearings," in Signal Processing and Its Applications, 2005. Proceedings of the Eighth International Symposium on, 2005, pp. 839-842.
[15] 郭瑜, 郑华文, 高艳, 吴涛, "基于谱峭度的滚动轴承包络分析," 振动. 测试与诊断, vol. 31, pp. 517-521, 2011.
GUO Yu, ZHENG Huawen, GAO Yan, et al.Envelope anal-ysis of rolling element bearing based on kur-to-gram[J].Journal of Vibration, Measurement & Di-agnosis,2011,31(4): 517-521.
[16] J. Antoni and R. Randall, "The spectral kurtosis: a useful tool for characterizing non-stationary sig-nals," Mechanical Systems and Signal Processing, vol. 20, pp. 282-307, 2006.
[17] Y. Guo, J. Na, B. Li, and R.-F. Fung, "Envelope extraction based dimension reduction for indepen-dent component analysis in fault diagnosis of roll-ing element bearing," Journal of Sound and Vibra-tion, vol. 333, pp. 2983-2994, 2014.