Feature Extraction of Gearbox Compound Faults Based on Blind Source Separation

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Abstract:

Aimed at the diagnosis to compound faults of eccentricity and teeth broken in gear box, the paper presents a method of compound fault diagnosis based on the blind source separation to separate the coupling characteristics in compound faults. The method separates two collected signals including some compound faults into two independent source signals, and then extracts the signal characteristics, i.e. the fault characteristics of gear eccentricity and teeth broken, through resonance demodulation. The result of the experiment shows the validity and practicality of the method.

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Periodical:

Advanced Materials Research (Volumes 490-495)

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1071-1075

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Online since:

March 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] ZHOU Fengxing, LIANG Wei, HE Li.Research and application of the technique of resonant demodulation in fault diagnosis of machine tool [J].Computer Automated Measurement & Control, 2004, 12(12): 1149-1151.

Google Scholar

[2] Hyvärinen A, Karhunen J, Oja E. Independent Component Analysis [M]. New York: (2001).

Google Scholar

[3] Haykin S. Unsupervised Adaptive Filtering, vol 1: Blind source separation [M]. New York, 2000: 64-65.

Google Scholar

[4] A. Cichocki, Blind signal processing methods for analyzing multichannel brain signals, International Journal of Bioelectromagnitis. 6 (1) (2004) 22-27.

Google Scholar

[5] Tong L, Soon C V, Huang F Y. A new blind identification algorithm [J]. In International Conference on Acoustics, Speed and Signal Processing. 1990: 1784-1787.

Google Scholar

[6] Martinez D, Bray A. Nonlinear blind source separation using kernels [J]. IEEE Trans on Neural Networks. 2003, 14(1): 228-235.

DOI: 10.1109/tnn.2002.806624

Google Scholar

[7] Imed Khemili, Mnaouar Chouchane. Detectionof rolling element bearing defects by adaptive filtering [J]. European Journal of Mechanics A/Solid, 2005, 24: 293—303.

DOI: 10.1016/j.euromechsol.2004.10.003

Google Scholar