Fault Diagnosis of the Relief Valve Based on Fractal Box Dimension of Autoregressive Bispectrum Slices

Article Preview

Abstract:

After data preprocessing,the autoregressive(AR) bispectrum diagonal slices were figured and fractal box dimensions were calculated. The results show that the box dimensions are different in evidence under different conditions. So the fault pattern recognitions of the relief valve are effective by the method of using fractal box dimension of AR bispectrum diagonal slices, it provides a simple and accurate method for fault diagnosis of the relief valve.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

70-73

Citation:

Online since:

January 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zhang Xianda. Time series analysis. Tsinghua University Press, Beijing,1999.

Google Scholar

[2] COLLIS WB, WHITE P R, HAMMOND J K,Higher-order spectra: The bispectrum and trispectrum, Mechanical System and Signal Processing12(3) (1998): 375−395.

DOI: 10.1006/mssp.1997.0145

Google Scholar

[3] CHANDRAN V, ELGAR S. A general procedure for the derivation of principle domains of higher order spectra. IEEE Transactions on Signal Processing42(1994) 229−233.

DOI: 10.1109/78.258147

Google Scholar

[4] Junyan Yang, Youyun Zhang, Yongsheng Zhu. Intelligent fault diagnosis of rolling element bearing based on SVMs and fractal dimension, Mechanical Systems and Signal Processing 21 (2007) 2012–2024.

DOI: 10.1016/j.ymssp.2006.10.005

Google Scholar

[5] Y. Xia, Z.R. Zhang, W.C. Chen, X.J. Liu, Application of fractal dimension to vibration diagnosis of IC engines, Journal of Vibration, Measurement and Diagnosis. 21(2001)209–213.

Google Scholar