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

Piervincenzo Rizzo; Elisa Sorrivi; Francesco Lanza di Scalea; Erasmo Viola

doi:10.1117/12.655362

27 March 2006 Damage detection in multi-wire strands by discrete wavelet-based outlier analysis and embedded guided ultrasonic waves

Piervincenzo Rizzo, Elisa Sorrivi, Francesco Lanza di Scalea, Erasmo Viola

Author Affiliations +

Proceedings Volume 6166, Smart Structures and Materials 2006: Modeling, Signal Processing, and Control; 61660U (2006) https://doi.org/10.1117/12.655362
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2006, San Diego, California, United States

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.

Citation Download Citation

Piervincenzo Rizzo, Elisa Sorrivi, Francesco Lanza di Scalea, and Erasmo Viola "Damage detection in multi-wire strands by discrete wavelet-based outlier analysis and embedded guided ultrasonic waves", Proc. SPIE 6166, Smart Structures and Materials 2006: Modeling, Signal Processing, and Control, 61660U (27 March 2006); https://doi.org/10.1117/12.655362

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