Comparison of Methods for Time-Frequency Analysis of Oil Whip Vibration Signal

Abstract:

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The signal analysis is important in extracting fault characteristics in fault diagnosis of machinery. To deal with non-stationary signal, time-frequency analysis techniques are widely used. The experiment data of oil whip vibration fault signal were analyzed by different methods, such as short time Fourier transform (STFT), Wigner-Ville distribution (WVD), Wavelet transform (WT) and Hilbert-Huang Transform (HHT). Compared with these methods, it is demonstrated that the time-frequency resolutions of STFT and WVD were inconsistent, which were easy to cross or make signal lower. WT had distinct time-frequency distribution, but it brought redundant component. HHT time-frequency analysis can detect components of low energy, and displayed true and distinct time-frequency distribution. Therefore, it is a very effective tool to diagnose the faults of rotating machinery.

Info:

Periodical:

Advanced Materials Research (Volumes 211-212)

Edited by:

Ran Chen

Pages:

983-987

DOI:

10.4028/www.scientific.net/AMR.211-212.983

Citation:

L. Xiang and H. Sun, "Comparison of Methods for Time-Frequency Analysis of Oil Whip Vibration Signal", Advanced Materials Research, Vols. 211-212, pp. 983-987, 2011

Online since:

February 2011

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$35.00

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