期刊文献+

应用Hilbert-Huang变换的齿轮箱故障诊断 被引量:1

Application of Fault Diagnosis of Gear Box Based on Hilbert-Huang Transform
下载PDF
导出
摘要 提出了基于经验模态分解(EMD)的齿轮箱故障诊断HHT方法,介绍了Hilbert-Huang变换理论及其算法.此后以1台现场轧机故障减速机为对象,对采集的故障信号进行EMD分解,得到固有模态函数(IMF)分量,然后对所有固有模态函数进行Hilbert变换处理,所得三维图和边际谱图较为清晰地表达了故障信息,说明了该方法在工程应用中的适用性. This paper presents the HHT method of the gear box fault diagnosis based on empirical mode decomposition(EMD),introduced Hilbert-Huang transform theory and its algorithms.After regarding one mill reducer that have break down as the object,the fault signals collected were decomposed into a set of intrinsic mode function(IMF) using EMD,then the Hilbert transform is applied to each intrinsic mode function,and then the fault information is more clearly expressed by three-dimensional map and the marginal spectrum,to illustrate the method applicability in engineering applications.
出处 《机械与电子》 2010年第7期45-48,共4页 Machinery & Electronics
关键词 故障诊断 HILBERT-HUANG变换 齿轮箱 边际谱 fault diagnosis Hilbert-Huang transform gearbox marginal spectrum
  • 相关文献

参考文献5

二级参考文献25

  • 1Qin S, Chen DP. Joint Time-Frequency Analysis[J]. IEEE Signal Processing Magazine, 1999, 16(2): 52-67.
  • 2boashash B. Estimating and Interpreting the Instantaneous Frequency of a Signal--Part 1:Fundamentals[J]. Proc. IEEE, 1992, 80(4): 520-538.
  • 3Champency C D. A Handbook of Fourier Theorems[M]. London: Cambridge University Press, 1987.
  • 4Huang N E. The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis[J]. J. Proc.R. Soc. Lond. A, 1998, 454: 903-995.
  • 5Cohen L. Time Frequency Analysis[M]. New York: Prentice-Hall, 1995.
  • 6Schlurmann T. Spectral Analysis of Nonlinear Water Waves Based on the Hilbert-Huang Transformation[J]. Journal of Offshore Mechanics and Arctic Engineering- Transactions of the ASME, 2002, 124(1): 22-27.
  • 7Veltcheva A D. Wave and Group Transformation by a Hilbert Spectrum [J]. Coastal Engineering Journal, 2002, 44(4): 283 - 300.
  • 8Pinzon J E. Using HHT to Successfully Uncouple Seasonal and Interannual Components in Remotely Sensed Data[A]. Proc 6th World Multiconference on Systemics, Cybernetics and Informatics, 2002. 287- 292.
  • 9Zhong Y M, Qin S R. HHT and a New Noise Removal Method[A].Proc 2nd International Symposium on Instrumentation Science and Technology, 2002. 553 - 557.
  • 10Loh C H. Application of the Empirical Mode Decomposition-Hilbert Spectrum Method to Identify Near-Fault Ground-Motion Characteristics and Structural Responses[J]. Bulletin of the Seismological Society of America, 2001, 91(5): 1339 - 1357.

共引文献157

同被引文献2

引证文献1

二级引证文献1

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