Application of Bipectrum in Mechanical Fault Diagnosis

Wen Bing Wu; Shu Qun Yang; Yi Jian Huang

doi:10.4028/www.scientific.net/AMR.538-541.2645

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 538-541Application of Bipectrum in Mechanical Fault...

Application of Bipectrum in Mechanical Fault Diagnosis

Abstract:

Bispectrum produced by third order cumulant contains the asymmetric and nonlinear information of signal, which can be used to describe the nonlinear phase coupling, especially the quadratic phase coupling, has been widely applied in fault diagnosis. The features of fault signals and normal signals are fetched by 2-D wavelet in different directions, then these features are used to diagnose fault. The experiment shows that the method can achieve satisfactory result.

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Periodical:

Advanced Materials Research (Volumes 538-541)

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2645-2648

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.538-541.2645

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Online since:

June 2012

Authors:

Wen Bing Wu, Shu Qun Yang, Yi Jian Huang

Keywords:

2-D Wavelet, Bispectrum, Fault Diagnosis

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References

[1] Cai Qizhi, Huang Yijian Study on aut0regressiVe trispectrum slices. Chinese Jouma1 of Scientific Instrument 2009,30(02).

Google Scholar

[2] Baydar N．Ball A．A comparative study of acoustic and vibration signals in detection of gear failures using Wigner—Ville distributions．Mechanical Systems and Signal Processing．(200 l ) 15(6)．1091—1 107．

DOI: 10.1006/mssp.2000.1338

Google Scholar

[3] Cheng Junsheng．Yang Yu．Yu Dejie．The envelope order spectrum based on generalized demodulation time—frequency analysis and its application to gear fault diagnosis．Mechanical Systems and Signal Processing,2010, 24(2), 508—521．

DOI: 10.1016/j.ymssp.2009.07.003

Google Scholar

[4] DAUBECHIES. I The wavelet transform, time-frequency localization and signal analysis[J]． IEEE Transactions on Information Theory, 1990, 36(5)：961 l 005．

DOI: 10.1109/18.57199

Google Scholar

[5] MALLAT S A wavelet tour of signal processing[M], 3rd ed．The Sparse W ay：Academic Press, 2008．

Google Scholar

[6] Wu Wenbing, Huang Yijian. Fault Diagnosis of Reducing Valve Based on Bispectra Slices. Computer Measurement & Control,2011(10).

Google Scholar