Paper Title:
Vibration Analysis of Rotor System by Combined Adaptive Time-Frequency Analysis and Independent Component Analysis
  Abstract

Traditional time-frequency analysis methods such as short-time Fourier transform (STFT) and Wigner-Ville distribution (WVD) cannot always work effectively for the complex rotor systems where the multiple faults are involved. A noise cancellation method for the rotor faults detection is proposed in this paper by combining the independent component analysis (ICA) scheme and the adaptive time-frequency analysis (ATFA) approach. In the proposed method, the raw picked data are first separated into different independent components (ICs) via the ICA according to the different vibration sources. Then the ICs are processed by the ATFA to obtain a clear vibration character for the fault diagnosis. Experiments on a rotor system with hybrid fault of the rotor imbalance and the bolt looseness are introduced to verify the feasibility and validity of the proposed scheme.

  Info
Periodical
Key Engineering Materials (Volumes 474-476)
Edited by
Garry Zhu
Pages
1406-1411
DOI
10.4028/www.scientific.net/KEM.474-476.1406
Citation
B. Li, Y. Guo, Y. C. Ding, T. W. Liu, J. Na, Y. Gao, "Vibration Analysis of Rotor System by Combined Adaptive Time-Frequency Analysis and Independent Component Analysis", Key Engineering Materials, Vols. 474-476, pp. 1406-1411, 2011
Online since
April 2011
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Price
$32.00
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