基于谐波小波和去趋势波动分析的摩擦振动信号研究

李精明1,2,魏海军1,魏立队1,杨智远1,刘冲1,刘竑1

振动与冲击 ›› 2017, Vol. 36 ›› Issue (15) : 235-239.

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振动与冲击 ›› 2017, Vol. 36 ›› Issue (15) : 235-239.
论文

基于谐波小波和去趋势波动分析的摩擦振动信号研究

  • 李精明1,2,魏海军1,魏立队1,杨智远1,刘冲1,刘竑1
作者信息 +

Study on Frictional Vibration Signal Based on Harmonic Wavelet and Detrended Fluctuation Analysis

  •   LI Jing-ming1,2,WEI Hai-jun1,WEI Li-dui1,YANG Zhi-yuan1,LIU Chong1,LIU Hong1
Author information +
文章历史 +

摘要

为实现摩擦振动信号的降噪和摩擦振动信号特征提取,在往复式摩擦磨损试验机上进行了摩擦副摩合磨损试验。应用谐波小波对获得的非线性、非平稳的摩擦振动信号进行分解,实现摩擦振动信号的降噪。应用去趋势波动分析算法对摩擦振动信号进行分析,获得不同阶数下的Hurst指数,判别数据序列的属性及其趋势增强的程度。研究结果表明,随着磨合磨损试验的进行,摩擦振动信号的标度指数呈现逐渐增大的变化趋势,去趋势波动分析算法能够实现摩擦振动信号特征提取,摩擦振动信号的标度指数变化能够用于摩擦副的磨合磨损状态监测和识别。

Abstract

For the purpose of de-noising and extracting the characteristic signal of frictional vibration,the friction and wear tests of friction pair were conducted on a reciprocating pin-on-disc tester. The de-noising of the signal of frictional vibration was acquired by decomposing the nonlinear and non-stationary frictional vibration signals with harmonic wavelet. Then the Hurst exponent of different order were achieved by the characteristic signals of frictional vibration which were analyzed by utilizing the algorithm of the detrended fluctuation analysis (DFA), these parameters were used to distinguish the property of data series and the level of trend strengthening. The results show that with the operation of friction and wear tests go on, the scaling index of the signal of frictional vibration presents a gradual increase in the trend of change. The characteristic signal of frictional vibration can be extracted by the detrended fluctuation analysis. And the changing of the scaling index of the signal of frictional vibration can be served as the condition monitoring and identification of the friction and wear state of friction pair.
 

 

关键词

谐波小波 / 去趋势波动分析 / 标度指数 / 摩擦振动

Key words

harmonic wavelet / detrended fluctuation analysis / scaling exponent / frictional vibration

引用本文

导出引用
李精明1,2,魏海军1,魏立队1,杨智远1,刘冲1,刘竑1. 基于谐波小波和去趋势波动分析的摩擦振动信号研究[J]. 振动与冲击, 2017, 36(15): 235-239
LI Jing-ming1,2,WEI Hai-jun1,WEI Li-dui1,YANG Zhi-yuan1,LIU Chong1,LIU Hong1. Study on Frictional Vibration Signal Based on Harmonic Wavelet and Detrended Fluctuation Analysis[J]. Journal of Vibration and Shock, 2017, 36(15): 235-239

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