Blind Source Separation for Convolutive Mixtures and Its Application to Machine Vibrations

Author

Huang, Weiguo ; Wu, Shuyou ; Kong, Fanrang ; Wu, Qiang ; Li, Peng

Author_Institution

Dept. of Precision Machinery & Precision Instrum., Univ. of Sci. & Technol. of China, Hefei, China

Volume

1

fYear

2009

fDate

11-12 April 2009

Firstpage

598

Lastpage

601

Abstract

Blind source separation is a signal processing method based on independent component analysis, its aim is to separate the source signals from a set of observations by assuming the signals independently. This paper reviews the general concept of BSS, especially the theory for convolutive mixtures, the model of convolutive mixture and two deconvolution structures: recursive and direct structures, then presents a BSS algorithm for convolutive mixtures based on RCTE threshold control criteria, the simulation testing points out good performance for simulated mixtures.

Keywords

blind source separation; convolution; independent component analysis; mechanical engineering computing; vibrations; RCTE threshold control criteria; blind source separation; convolutive mixtures; deconvolution structures; independent component analysis; machine vibrations; signal processing method; Biosensors; Blind source separation; Condition monitoring; Crosstalk; Fault diagnosis; Sensor arrays; Signal processing; Source separation; Vibration measurement; Working environment noise; Blind source separation; convolutive mixtures; residual cross-talking error; rotating machine vibration;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on

Conference_Location

Zhangjiajie, Hunan

Print_ISBN

978-0-7695-3583-8

Type

conf

DOI

10.1109/ICMTMA.2009.366

Filename

5203043