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Proceedings Paper

Wavelet-based technique for detection of mechanical chaos
Author(s): Chii-Der Steve Suh; Andrew K. Chan
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Paper Abstract

This paper presents the development of an innovative wavelet-based diagnostic methodology to perform real-time detection of mechanical chaos occurring in high-speed, high- performance rotor-dynamic systems. The objective is to provide an early warning if macroscopic and/or microscopic faults are detected in time to prevent catastrophic mechanical failures that could compromise safety and cause expensive downtime. In this paper, we make use of the popular discrete wavelet transform (DWT) operating in the time-domain that has demonstrated to be superior to Fourier- based methods and is highly effective in identifying small variations of parameters in rapid transient events. In addition, the DWT and its extension to wavelet packet transform are real-time implementable in many DSP chips. We present a comparison between the wavelet approach and the traditional technique to identify chaotic signals using synthetic and laboratory-generated data.

Paper Details

Date Published: 5 April 2000
PDF: 8 pages
Proc. SPIE 4056, Wavelet Applications VII, (5 April 2000); doi: 10.1117/12.381710
Show Author Affiliations
Chii-Der Steve Suh, Texas A&M Univ. (United States)
Andrew K. Chan, Texas A&M Univ. (United States)

Published in SPIE Proceedings Vol. 4056:
Wavelet Applications VII
Harold H. Szu; Martin Vetterli; William J. Campbell; James R. Buss, Editor(s)

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