A Detection Technology for Weak Vibration Signal Based on Independent Component Analysis


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For weak vibration signal with strong noise, a new kind of weak vibration signal detection method was proposed in this paper. Based on the redundancy reducing capability and the uncertain amplitude of independent component analysis, virtual noise was introduced to extend the dimension of original observed signal after we analyzed the prior features of noises in observed signal. Then extended signals were processed to get the independent source signals by applying to blind source separation (BSS). Thus, the noise embedded in observed signal was removed and characteristics of weak vibration signal were obtained successfully. Through the theoretical analysis and the simulation, the introduced method of this paper was checked to be available and then it was applied to faults analysis of rotor misalignment successfully. Finally, we made a conclusion that this method had great application value for the extraction of weak vibration signal.



Edited by:

Chunliang Zhang and Paul P. Lin




H. D. Guo et al., "A Detection Technology for Weak Vibration Signal Based on Independent Component Analysis", Applied Mechanics and Materials, Vols. 226-228, pp. 312-315, 2012

Online since:

November 2012




[1] J.C. Ma, X.L. Liu: Computer Measurement and Control, Vol. 18 (2010) No. 2, p.276. (In Chinese).

[2] J.W. Mo, S. Ouyang and H.L. Xiao: Signal Processing, Vol. 27 (2011) No. 5, p.755. (In Chinese).

[3] A.J. Bell, T.J. Sejnowski: Neural Computation, Vol. 7 (1995) No. 6, p.1004.

[4] P. Common: Signal Processing, Vol. 36 (1994) No. 3, p.287.

[5] S.M. Li, X.L. Li: Modern Analysis Techniques and Application of Vibration Signals (National Defense Industry Press, China 2008). (In Chinese).

[6] J.F. Cardoso, A. Souloumiac: In SLAM Journal of Matrix Analysis and Applications, Vol. 17 (1996) No. 1, p.161.