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Proceedings Paper

Sequential damage detection based on the continuous wavelet transform
Author(s): Yizheng Liao; Konstantinos Balafas; Ram Rajagopal; Anne S. Kiremidjian
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Paper Abstract

This paper presents a sequential structural damage detection algorithm that is based on a statistical model for the wavelet transform of the structural responses. The detector uses the coefficients of the wavelet model and does not require prior knowledge of the structural properties. Principal Component Analysis is applied to select and extract the most sensitive features from the wavelet coefficients as the damage sensitive features. The damage detection algorithm is validated using the simulation data collected from a four-story steel moment frame. Various features have been explored and the detection algorithm was able to identify damage. Additionally, we show that for a desired probability of false alarm, the proposed detector is asymptotically optimal on the expected delay.

Paper Details

Date Published: 27 March 2015
PDF: 14 pages
Proc. SPIE 9435, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015, 94350S (27 March 2015); doi: 10.1117/12.2084495
Show Author Affiliations
Yizheng Liao, Stanford Univ. (United States)
Konstantinos Balafas, Stanford Univ. (United States)
Ram Rajagopal, Stanford Univ. (United States)
Anne S. Kiremidjian, Stanford Univ. (United States)

Published in SPIE Proceedings Vol. 9435:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015
Jerome P. Lynch, Editor(s)

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