基于LMD的能量算子解调方法及其在故障特征信号提取中的应用

鞠萍华;秦树人;赵玲

振动与冲击 ›› 2011, Vol. 30 ›› Issue (2) : 1-4.

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振动与冲击 ›› 2011, Vol. 30 ›› Issue (2) : 1-4.
论文

基于LMD的能量算子解调方法及其在故障特征信号提取中的应用

  • 鞠萍华;秦树人;赵玲
作者信息 +

Energy operator demodulating approach based on LMD and its application in extracting the fault characteristics of signal

  • Ju Ping-hua;Qin Shu-ren; Zhao-lin
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文章历史 +

摘要

.

局域均值分解是将多分量调频调幅信号分解为一系列单分量调频调幅信号的有效时频分析方法。为提取故障信号的特征,提出了基于局域均值分解的能量算子解调方法,局域均值分解将复杂的多分量信号分解为若干个乘积函数的线性组合,再通过能量算子解调方法可求取每个乘积函数的幅频信息,从而可进一步获取故障信号的时频分布或提取其故障特征。为提高分析精度,提出了特征趋势正弦函数数据延拓方法以有效克服端点效应的影响。实验信号的分析结果表明,所提出的基于局域均值分解的能量算子解调方法能有效提取机械故障振动信号的特征。

Abstract

Local mean decomposition (LMD) is an effective time-frequency analysis method for decomposing the multi-component AM-FM signal into a number of mono-component AM-FM signals. An energy operator demodulating approach based on LMD is proposed for extracting the characteristics of the faulty signal. LMD is used to decompose the complex multi-component AM-FM signal into a linear combination of a finite number of production functions (PF), then the energy operator demodulation is applied to extract the amplitudes and frequencies of each PF so as to obtain the time-frequency distribution of the faulty signal and extract the fault characteristics. In order to improve the precision of analysis, a data extension method based on trend character of sine function is proposed to overcome end effect. The application results show that the proposed energy operator demodulating approach based on LMD can extract the characteristics of mechanical fault vibration signal effectively.

关键词

机械故障诊断 / 调频调幅信号 / 局域均值分解 / 能量算子解调 / 特征趋势正弦函数

Key words

mechanical fault diagnosis / AM-FM signal / local mean decomposition / Energy operator demodulating / trend character of sine function

引用本文

导出引用
鞠萍华;秦树人;赵玲 . 基于LMD的能量算子解调方法及其在故障特征信号提取中的应用[J]. 振动与冲击, 2011, 30(2): 1-4
Ju Ping-hua;Qin Shu-ren;Zhao-lin. Energy operator demodulating approach based on LMD and its application in extracting the fault characteristics of signal[J]. Journal of Vibration and Shock, 2011, 30(2): 1-4

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