Enhancement of autoregressive model based gear tooth fault detection technique by the use of minimum entropy deconvolution filter-Reference-Cited by-同舟云学术

Enhancement of autoregressive model based gear tooth fault detection technique by the use of minimum entropy deconvolution filter

Published:2007-02 Issue:2 Volume:21 Page:906-919
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Endo H.,Randall R.B.

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference23 articles.

1. A.K. Wong, Vibration-based Helicopter Health Monitoring—An Overview of the Research Program in DSTO, DSTO-HUMS2001, 2001.

2. H.J. Decker, Gear crack detection Using tooth analysis, NASA-TM2002-211491, 2002a.

3. H.J. Decker, Crack detection of aerospace quality gears, NASA-TM2002-211492, 2002b.

4. B.D. Larder, Helicopter HUM/FDR: Benefits and developments, American Helicopter Society 55th Annual Forum, Montreal, Quebec, Canada, 25–27 May 1999.

5. J. McColl, Overview of Transmissions HUM performance in UK, North Sea Helicopter Operations, Institution of Mechanical Engineers, Seminar S553, 1997.

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