Diagnostics and prognostics based on adaptive time-frequency feature discrimination-Reference-Cited by-同舟云学术

Diagnostics and prognostics based on adaptive time-frequency feature discrimination

Published:2004-09 Issue:9 Volume:18 Page:1537-1548
ISSN:1226-4865
Container-title:KSME International Journal
language:en
Short-container-title:KSME International Journal

Author:

Oh Jae Hyuk,Kim Chang Gu,Cho Young Man

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering

Link

http://link.springer.com/content/pdf/10.1007/BF02990368.pdf

Reference17 articles.

1. Cann, R. G., 1992, “New Diagnostic Procedures for Locating Faults in Diesel Engines”,Diesel and Gas Turbine Worldwide, Vol. 24, No. 6, pp. 52–55, July-August.

2. Choi, H. I. and Williams, W. J., 1989, “Improved Time-Frequency Representation of Multi-Component Signals Using Exponential Kernels”,IEEE Trans. Acoust., Speech, and Signal Proc., Vol. 37, No. 6.

3. Coifman, R. R. and Wickerhauser, M. V., 1992, “Entropy-Based Algorithms for Best Basis Selection”,IEEE Trans. on Inf. Theory, Vol. 38, No. 2.

4. Coifman, R. R. and Wickerhauser, M. V., 1993, “Wavelet Packet Laboratory for Windows User’s Manual & Theoretical Manual”,Digital Diagnostics Corporation, A K Peters, Ltd., ISBN 1-56881-035-0.

5. Daubechies, I., 1992, “Ten Lectures on Wavelets”,SIAM, ISBN 0-89871-274-2.

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