局部均值分解在齿轮故障诊断中的应用研究

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振动与冲击 ›› 2011, Vol. 30 ›› Issue (6) : 196-201.

论文

局部均值分解在齿轮故障诊断中的应用研究

何田1 ;林意洲1; 郜普刚1; 申永军2

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Application Research on Local Mean Decomposition in Gear Fault Diagnosis

Tian He1;Yizhou Lin1; PuGang Gao1; Yongjun Shen2

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摘要

局部均值分解(Local Mean Decomposition,简称LMD)作为一种新的自适应的时频分析方法，在故障诊断领域开始得到研究。本文利用仿真信号研究了LMD算法的特性，验证了LMD处理描述齿轮故障信号特征的多分量调幅调频信号的有效性；在此基础上将LMD综合应用于断齿、磨损和剥落三种齿轮故障诊断中，并与传统解调方法进行了对比。结果表明，LMD方法可以有效提取故障齿轮的故障特征，消除虚假成分的影响，从而提高了齿轮故障诊断的准确性

Abstract

As a new kind of self-adaptation time-frequency analysis approach, Local mean decomposition (LMD) is began to study in the field of fault diagnosis. In this paper, the simulation signal is used to illustrate the effectiveness of the proposed method for processing multi-component modulated signal which expresses the characteristics of fault signals of gear. Then, the LMD method was applied to diagnose gear faults including wear, fracture and spalling by extracting the fault characteristics from the test signals. The analysis results demonstrate that LMD can diagnose gear faults and improve the accuracy of gear fault diagnosis, compared with the traditional demodulation approach

导出引用

何田;林意洲;郜普刚;申永军. 局部均值分解在齿轮故障诊断中的应用研究[J]. 振动与冲击, 2011, 30(6): 196-201

Tian He;Yizhou Lin;PuGang Gao;Yongjun Shen. Application Research on Local Mean Decomposition in Gear Fault Diagnosis[J]. Journal of Vibration and Shock, 2011, 30(6): 196-201