期刊文献+

一种适用于非平稳、非线性振动信号分析方法研究 被引量:21

A suitable analysis method for nonlinear and non-stationary signal
在线阅读 下载PDF
导出
摘要 H ilbert-Huang变换(HHT)被认为近年来信号分析领域的一大突破。适用于非平稳、非线性信号分析。从往复机械上得到的振动信号往往具有非平稳、非线性特征,因此采用HHT方法分析是一种较佳的选择。然而,该方法提出不久,并不能用一个解析公式表示,影响了对其理论分析及性能评价。建立一多分量仿真信号,并应用HHT、傅里叶变换、小波变换、时频分布对其分析比较,证明它具有较高的分解效率及准确地刻画信号的能力,并由此发展了能消除多分量信号交叉干扰项的时频分析方法。应用HHT对内燃机敲缸信号进行分析,有效地提取故障的特征信息,为往复机械的状态监测及故障诊断提供了一条有效途径。 Hilbert-Huang Transform(HHT) is regarded as a breakthrough method in the signal analysis domain. It is suitable to analyze nonlinear and non-stationary data. The vibration signal from the reciprocating engine is non-stationary, time-variation, so, application of HHT is a good choice. However, the technique cannot be expressed by an analytical formulation so that it is difficult to conduct theoretical analysis and performance evaluation. A multicompomnet signal was built. And then, compared with the Fast Fourier Transform(FFT) and Wavelet Transform (WT) and Wigner-Ville Distribution(WVD), HHT has the capability of the high efficient decomposition signal and accurately describing it, by which a reducing cross terms interference Time-Frequency Distribution(TFD) method was developed. Applying of HHT to analyze knock cylinder signal, result shows that it can effectively extract fault signal characteristic information and give a way of the condition monitoring and fault diagnosis for reciprocating machinery.
出处 《农业工程学报》 EI CAS CSCD 北大核心 2005年第10期9-12,共4页 Transactions of the Chinese Society of Agricultural Engineering
关键词 希尔伯特-黄变换 经验模态分解 小波变换 魏格纳威尔分布 振动信号 往复机械 Hilbert-Huang Transform empirical mode decomposition wavelet transform WVD Vibration Signal reciprocating machinery
  • 相关文献

参考文献9

  • 1Huang N E,Shen Z,Long S R,et al.The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proc Roy Soc London A,1998,454,903-995.
  • 2Gabriel Rilling.,Patrick Flandrin,Paulo Goncalv'es,on empirical mode decomposition and its algorithms[C].Proc IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing(NSIP2003),8~11 June.
  • 3Flandrin P,Rilling G,Gon,calv'es P.Empirical Mode Decomposition as a filter bank [J].IEEE Sig.Proc.Lett.,2003.
  • 4Ivan Magrin-Changnolleau,Richard G.Baraniuk.Empirical mode decomposition based time-frequency attributes[C].Proceedings of the 69th SEG Meeting,Houston,United States.
  • 5Long S R,et al.The Hilbert Techniques:An alternateapproach for non-steady time series analysis [J].IEEE Geoscience and Remote Sensing Society Newsletter,1995:6~11.
  • 6Oonincx P J.Empirical mode decomposition:a new tool for S-wave detection [J].REPORT PNA-R0203 JANUARY 31,2002.
  • 7金萍,陈怡然,白烨.内燃机表面振动信号的性质[J].天津大学学报(自然科学与工程技术版),2000,33(1):63-68. 被引量:43
  • 8马孝江 余伯 张志新.一种新的时频分析方法—局域波法[J].振动工程学报,2000,13(5):219-224.
  • 9贾继德,吴礼林,李志远.活塞敲缸故障的诊断研究[J].农业机械学报,2000,31(2):79-81. 被引量:9

二级参考文献7

共引文献98

同被引文献236

引证文献21

二级引证文献105

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部