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基于盲源分离的设备状态监测与故障诊断 被引量:1

基于盲源分离的设备状态监测与故障诊断
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摘要 介绍了盲源分离(blind source separation,BSS)的相关理论和基本算法,阐述了盲源分离在设备状态监测与故障诊断的研究现状,重点讨论了它在源信号分离、特征提取、状态识别、源数目估计等方面的应用,指出将盲源分离应用于设备状态监测与故障诊断中需要深入研究的问题。 The related theory and basic arithmetic of blind source separation (BSS) are introduced. The research of applying in the machine state monitoring and fault diagnosis is expatiated, the applications of BSS are discussed emphatically in the area of Source separation, feature extraction, state identification and the number of sources estimate, and further research is put forward.
出处 《铁道技术监督》 2007年第2期11-12,共2页 Railway Quality Control
关键词 肓源分离(BSS) 状态监测 故障诊断 blind source separation, state monitoring,fault diagnosis
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  • 1陈逢时.子波变换理论及其在信号处理中的应用[M].北京:国防工业出版社,1999.17-39.
  • 2张贤达.通讯信号处理[M].北京:清华大学出版社,1998..
  • 3Pierre Comon.Independent component analysis,A mew concept?[J].Signal Processing, 1994,(36):287-314.
  • 4Fabry P,Serviere Ch.Blind separation of noisy harmonic signals using only second order statistics[M].LIS-ENSIEG,BP 46,38402 Saint-Martin d heres Cedex,FRANCE.
  • 5Cardoso J F,Souloumiac A.Blind beamforming for non -Gaussian signals[J].IEE Proceedings-F,1993,140(6).
  • 6Hoang-Lan Nguyen Thi,Christian Jutten.Blind source separation for corrvolutive mixtures[J].Signal Processing,1995,(45):209 - 229.
  • 7This dataset was acquired in the Delft“Machine diagnostics by neural networks”-project with help from*Landustrie Sneek b v,The Netherlands* SKF Condition Monitoring b v,The Netherlands,and can be downloaded freely at the following web-address:http://www.ph.th.tudelft.nl/~ypma/mechanical.html(c)12-08-99.Pattern Recognition Group,Delft University of Technology.
  • 8Gelle G, Colas M, Delaunay G. Blind sources separation applied to rotating machines monitoring by acoustical and vibrations analysis. Mechanical Systems and Signal Processing,2000, MSSP-14(3):427 ~ 442.
  • 9Cao X R, Ruey-wen Liu. General approach to blind source separation.IEEE Trans. Signal Processing, 1996, 44(3) :562 ~ 571.
  • 10Cardoso J F. Blind signal separation: statistical principles. Proc. IEEE,1998, 86(10):2009~2025.

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