局部均值分解在滚动轴承故障综合诊断中的应用

陈亚农; 郜普刚; 何田; 刘献栋

振动与冲击 ›› 2012, Vol. 31 ›› Issue (3) : 73-78.

PDF(2573 KB)
PDF(2573 KB)
振动与冲击 ›› 2012, Vol. 31 ›› Issue (3) : 73-78.
论文

局部均值分解在滚动轴承故障综合诊断中的应用

  • 陈亚农1 ; 郜普刚2 ; 何田2 ; 刘献栋2
作者信息 +

The method of roller bearing fault comprehensive diagnosis based on LMD

  • Chen Ya-nong1, Gao Pu-gang2, He Tian2, Liu Xian-dong2
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摘要

局部均值分解(LMD)是在经验模态分解(EMD)的基础上提出的一种新的自适应时频分析方法,在故障诊断领域展现出较好的应用前景。本文改进了LMD算法,提高LMD计算速度,并利用仿真信号研究了LMD算法的特性,验证了LMD处理多分量调幅调频信号的有效性;针对轴承故障信号的调制特点以及背景信号对故障信号的影响,本文提出将其应用于滚动轴承外圈点蚀、内圈点蚀和滚动体点蚀的故障综合诊断中,结果表明LMD方法能够有效地提取出故障特征频率,对故障类型做出准确判断。

Abstract

LMD (Local mean decomposition) is a new kind of adaptive time-frequency analysis method, which exhibits a good application prospect in filed of bearing fault diagnosis. In this paper, the LMD is advanced to improve it calculation speed. Then, the synthetic signal is used to illustrate the effectiveness of the proposed method by processing multi-component modulated characteristics of the signal. In view of the modulation characteristics of the vibration acceleration signal of the faulty bearing and the impact of background signals, LMD method is proposed to diagnose the bearing with outer-race fault, inner-race fault and the elements fault. The results indicate that the characteristic frequencies can be extracted effectively using the LMD method and they are coincidental to the fault type.

关键词

局部均值分解 / 故障诊断 / 滚动轴承 / 特征频率

Key words

local mean decomposition / fault diagnosis / roller bearing / characteristic frequency

引用本文

导出引用
陈亚农; 郜普刚; 何田; 刘献栋 . 局部均值分解在滚动轴承故障综合诊断中的应用[J]. 振动与冲击, 2012, 31(3): 73-78
Chen Ya-nong;Gao Pu-gang;He Tian;Liu Xian-dong. The method of roller bearing fault comprehensive diagnosis based on LMD[J]. Journal of Vibration and Shock, 2012, 31(3): 73-78

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