Harmonic wavelet packet transform for on-line system health diagnosis

Ruqiang Yan; Robert X. Gao

doi:10.1117/12.539914

29 July 2004 Harmonic wavelet packet transform for on-line system health diagnosis

Ruqiang Yan, Robert X. Gao

Proceedings Volume 5391, Smart Structures and Materials 2004: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems; (2004) https://doi.org/10.1117/12.539914
Event: Smart Structures and Materials, 2004, San Diego, CA, United States

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.

Citation Download Citation

Ruqiang Yan and Robert X. Gao "Harmonic wavelet packet transform for on-line system health diagnosis", Proc. SPIE 5391, Smart Structures and Materials 2004: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, (29 July 2004); https://doi.org/10.1117/12.539914

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