Damage Degree Recognition of Bearing Based on Correlation Analysis and Lempel-Ziv Index

被引:0
|
作者
Yin J. [1 ]
Xu M. [1 ]
机构
[1] Deep Space Exploration Research Center, Harbin Institute of Technology, Harbin
来源
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis | 2019年 / 39卷 / 02期
关键词
Bearing; Correlation analysis; Damage degree; Inner ring; Outer ring;
D O I
10.16450/j.cnki.issn.1004-6801.2019.02.025
中图分类号
学科分类号
摘要
For the damage degree recognition of bearing inner and outer ring under the single failure mode, an evaluation method based on the Lempel-Ziv index and correlation analysis is proposed. The influence of noise on Lempel-Ziv index is reduced by correlation analysis on the basis of retaining frequency components in the signal. Firstly, the autocorrelation analysis of the original signal is used to reduce the noise component of the signal. Secondly, the coding sequence of the original signal is obtained by 0-1 encoding of the noise reduction signal. Finally the sequence after coding is used to calculate the Lempel-Ziv index to get the signal complexity. The effectiveness of the proposed method is verified by simulation and experimental data. Compared with the traditional Lempel-Ziv complexity and the Lempel-Ziv complexity after filtering, the proposed method can identify the bearing fault signal complexity in the noise environment, which can effectively distinguish the damage degree of the bearing inner and outer ring under the single failure mode. © 2019, Editorial Department of JVMD. All right reserved.
引用
收藏
页码:396 / 403
页数:7
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共 22 条
  • [11] Hu J., Gao J., Principe J.C., Analysis of biomedical signals by the Lempel-Ziv complexity: the effect of finite data size, IEEE Transactions on Biomedical Engineering, 53, 12, pp. 2606-2609, (2006)
  • [12] Nagarajan R., Quantifying physiological data with Lempel-Zivcomplexity-certain issues, IEEE Transactions on Biomedical Engineering, 49, 11, pp. 1371-1373, (2002)
  • [13] Zhang X., Roy R.J., Jensen E.W., EEG complexity as a measure of depth of anesthesia for patients, IEEE Transactions on Biomedical Engineering, 48, 12, pp. 1424-1433, (2001)
  • [14] Yan R., Gao Robert X., Complexity as a measure for machine health evaluation, IEEE Transactions on Instrumentation and Measurement, 53, 4, pp. 1327-1334, (2004)
  • [15] Hong H., Liang M., Fault severity assessment for rolling element bearings using the Lempel-Ziv complexity and continuous wavelet transform, Journal of Sound and Vibration, 320, 1, pp. 452-468, (2009)
  • [16] Dou D., Zhao Y., Fault severity assessment for rolling element bearings based on EMD and Lempel-Ziv index, Journal of Vibration and Shock, 29, 3, pp. 5-8, (2010)
  • [17] He L., Tan J., Yin F., Et al., Radial wear degree recognition of bearing based on LMD and Lempel-Zivindex, Journal of Mechanical Transmission, 38, 8, pp. 34-38, (2014)
  • [18] Zhang C., Chen J., Fault severity assessment for rolling element bearings based on LMD and Lempel-Zivindex, Journal of Vibration and Shock, 31, 16, pp. 77-82, (2012)
  • [19] Lei Y., He Z., Zi Y., A new approach to intelligent fault diagnosis of rotating machinery, Expert Systems with Applications, 35, 4, pp. 1593-1600, (2008)
  • [20] Wang J., Wu L., Qin X., Rolling bearing vibration signal fault feature extraction based on autocorrelation analysis and LMD, China Mechanical Engineering, 25, 2, pp. 186-191, (2014)