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Proceedings Paper

Damage detection in multi-wire strands by discrete wavelet-based outlier analysis and embedded guided ultrasonic waves
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Paper Abstract

This paper describes a method based on novelty detection and Discrete Wavelet Transform for damage detection. A statistical discordancy test is used to determine the presence of outliers in a set of features extracted from the Discrete Wavelet Transform of ultrasonic guided-wave signals; the outliers indicate a faulty condition of the structure under investigation. The proposed approach, which is general, is applied to the quantitative detection of notch-like defects in steel strands used as cable-stays or prestressing tendons. The effect of the number of features and the effect of the ultrasonic noise level on the sensitivity of the method to the presence and the size of the defects are discussed.

Paper Details

Date Published: 27 March 2006
PDF: 12 pages
Proc. SPIE 6166, Smart Structures and Materials 2006: Modeling, Signal Processing, and Control, 61660U (27 March 2006); doi: 10.1117/12.655362
Show Author Affiliations
Piervincenzo Rizzo, Univ. of California, San Diego (United States)
Elisa Sorrivi, Univ. degli Studi di Bologna (Italy)
Francesco Lanza di Scalea, Univ. of California, San Diego (United States)
Erasmo Viola, Univ. degli Studi di Bologna (Italy)


Published in SPIE Proceedings Vol. 6166:
Smart Structures and Materials 2006: Modeling, Signal Processing, and Control
Douglas K. Lindner, Editor(s)

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