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Proceedings Paper

Sequential detection of progressive damage
Author(s): Mark Mollineaux; Ram Rajagopal
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Paper Abstract

The multi-state progressive damage of a structure is introduced into the change point detection problem: a generalized Hidden Markov Model (HMM) with multiple states is developed. Applications to Structural Health Monitoring (SHM) are explored. Demonstrate development of suitable likelihood ratio for simple progressive damage case, as well as generalized to arbitrary HMM. Computational costs are limited by exploiting structure of this model, and further limited by “windowing” technique. Demonstrations of algorithm are shown, with use of multi-damage state response from a structural frame in a test site.

Paper Details

Date Published: 19 April 2013
PDF: 13 pages
Proc. SPIE 8692, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013, 86920U (19 April 2013); doi: 10.1117/12.2009887
Show Author Affiliations
Mark Mollineaux, Stanford Univ. (United States)
Ram Rajagopal, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 8692:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013
Jerome Peter Lynch; Chung-Bang Yun; Kon-Well Wang, Editor(s)

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