基于LMD和Lempel-Ziv指标的滚动轴承故障损伤程度研究

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振动与冲击 ›› 2012, Vol. 31 ›› Issue (16) : 77-82.

论文

基于LMD和Lempel-Ziv指标的滚动轴承故障损伤程度研究

张超陈建军

作者信息 +

Fault severity assessment for rolling element bearings based on LMD and Lempel-Ziv index

ZHANG Chao1,2, CHEN Jian-jun2

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摘要

摘要：针对不同转速下，不同损伤程度的滚动轴承内、外圈故障，提出一种基于局域均值分解（Local Mean Decomposition，LMD)和Lempel-Ziv指标的滚动轴承损伤程度识别方法。LMD 方法是一种新的自适应时频分析方法，将轴承振动信号分解为若干个瞬时频率有物理意义的乘积函数 (Production Function, PF)，再结合峭度条件找出蕴含故障信息的最优PF分量，计算其PF函数和包络的Lempel-Ziv的归一化值，再加权求和得到最终的Lempel-Ziv综合指标，表征了不同故障的损伤程度。同时还研究了在不同转速下的内、外圈故障轴承的Lempel-Ziv指标的分布规律，使结论更具有普遍性。经实验结果验证，此方法能有效地应用于滚动轴承的故障程度的诊断。

Abstract

Abstract: In view of the different rotation speeds and inner and outer race defects severity, a fault severity assessment scheme based on local mean decomposition (LMD) and Lempel-Ziv was put forward in this paper. LMD method is a new adaptive time-frequency analysis method. The bearing vibration signal was decomposed into several product functions with instantaneous frequency having physical meaning. The optimal PF component can be found according to kurtosis conditions. On the base of the best PF, the normalized Lempel-Ziv values were calculated for the envelope. Then the values were summed up with given weights to form a final measure named the integrated Lempel-Ziv index. Finally, the different fault damage intervals were found. At the same time, for making conclusions more universal, the bearing fault Lempel-Ziv index distribution rule of the inner and outer in different rotating speed were studied. The experiment results showed that the algorithm can effectively apply in rolling bearing fault diagnosis.

导出引用

张超陈建军 . 基于LMD和Lempel-Ziv指标的滚动轴承故障损伤程度研究[J]. 振动与冲击, 2012, 31(16): 77-82

ZHANG Chao;CHEN Jian-jun. Fault severity assessment for rolling element bearings based on LMD and Lempel-Ziv index[J]. Journal of Vibration and Shock, 2012, 31(16): 77-82