Share Email Print
cover

Proceedings Paper

Harmonic wavelet packet transform for on-line system health diagnosis
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This paper presents a new approach to on-line health diagnosis of mechanical systems, based on the wavelet packet transform. Specifically, signals acquired from vibration sensors are decomposed into sub-bands by means of the discrete harmonic wavelet packet transform (DHWPT). Based on the Fisher linear discriminant criterion, features in the selected sub-bands are then used as inputs to three classifiers (Nearest Neighbor rule-based and two Neural Network-based), for system health condition assessment. Experimental results have confirmed that, comparing to the conventional approach where statistical parameters from raw signals are used, the presented approach enabled higher signal-to-noise ratio for more effective and intelligent use of the sensory information, thus leading to more accurate system health diagnosis.

Paper Details

Date Published: 29 July 2004
PDF: 11 pages
Proc. SPIE 5391, Smart Structures and Materials 2004: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, (29 July 2004); doi: 10.1117/12.539914
Show Author Affiliations
Ruqiang Yan, Univ. of Massachusetts/Amherst (United States)
Robert X. Gao, Univ. of Massachusetts/Amherst (United States)


Published in SPIE Proceedings Vol. 5391:
Smart Structures and Materials 2004: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems
Shih-Chi Liu, Editor(s)

© SPIE. Terms of Use
Back to Top