A Time-Frequency Distribution based on a Moving and Combined Kernel and its Application in the Fault Diagnosis of Rotating Machinery

Article Preview

Abstract:

You might also be interested in these eBooks

Info:

Periodical:

Key Engineering Materials (Volumes 245-246)

Pages:

183-190

Citation:

Online since:

July 2003

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2003 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Jochen Leibrich, Henning Puder: A TF distribution for disturbed and undisturbed speech signals and its application to noise reduction. Signal Processing, Vol. 80 (2000), pp.1761-1776

DOI: 10.1016/s0165-1684(00)00086-4

Google Scholar

[2] Cohen L: Time-frequency distribution-a review. Proceedings of the IEEE, Vol. 77(1987), pp.941-978

Google Scholar

[3] P. Bonato,R. Ceravolo and A. De Stefano: Bilinear time-requency transformations in the analysis of damaged structures. Mechanical Systems and Signal Processing,Vol.11(1997), pp.509-527

DOI: 10.1006/mssp.1997.0094

Google Scholar

[4] Richard G.Baraniuk, Douglas L.Jones: A signal-dependent time-frequency representation: optimal kernel design. IEEE Trans. on Signal Processing, Vol.41(1993), pp.589-1602

DOI: 10.1109/78.212733

Google Scholar

[5] Antonio H.Costa, G.Faye Boudreaux-Bartels: Design of time-frequency representations using a multiform, tiltable exponential kernel. IEEE Trans. on Signal Processing, Vol. 43(1995), pp.1589-1602

DOI: 10.1109/78.469860

Google Scholar

[6] Jechang Jeong, William J.Williams: Kernel design for reduced interference distributions. IEEE Trans. on Signal Processing, Vol. 40(1992), pp.402-411

DOI: 10.1109/78.124950

Google Scholar

[7] Y.K. Park And Y.H. Kim: A method to minimise the cross-talk of the Wigner-Ville distribution.Mechanical Systems and Signal Processing, Vol. 11(1997), pp.547-559

DOI: 10.1006/mssp.1997.0095

Google Scholar

[8] Richard G.Baraniuk, Douglas L.Jones: Signal-dependent time-frequency analysis using a radially Gaussion kernel. Signal Processing, Vol. 32(1993), pp.263-284

DOI: 10.1016/0165-1684(93)90001-q

Google Scholar

[9] Fengshi Chen: The theory of wavelet transform and the application of signal processing. Beijing: National Defence Industry Press, 1998 Auther: Guoan Yang received the Ph.D. degree from Southeast University, Nanjing, in 2001, both in mechanical-electrical integration and signal processing. I am currently Associate Professor of mechanicalelectrical integration at Beijing University of Chemical Technology. My research interests are in machine fault diagnosis and condition monitoring, signal processing, and mechanical-electrical integration. Email: guoan_yang@263.net Tel: 86-10-64445610 Fax: 86-10-64446043

DOI: 10.1016/j.ymssp.2006.12.007

Google Scholar