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Proceedings Paper

Feature-specific optimal sensor placement for active sensing
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Paper Abstract

We propose a novel approach for optimal actuator and sensor placement for active sensing-based structural health monitoring (SHM). Of particular interest is the optimization of actuator-sensor arrays making use of ultrasonic wave propagation for detecting damage in thin plate-like structures. Using a detection theory framework, we establish the optimum configuration as the one which minimizes Bayes risk. The detector incorporates a statistical model of the active sensing process which accounts for both reflection and attenuation features, implements pulse-echo and pitchcatch actuation schemes, and takes into account line-of-site. The optimization space was searched using a genetic algorithm with a time varying mutation rate. For verification, we densely instrumented a concave-shaped plate and applied artificial, reversible damage to a large number of randomly generated locations, acquiring active sensing data for each location. We then used the algorithm to predict optimal subsets of the dense array. The predicted optimal arrangements proved to be among the top performers when compared to large sets of randomly generated arrangements.

Paper Details

Date Published: 30 March 2009
PDF: 11 pages
Proc. SPIE 7292, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009, 729210 (30 March 2009); doi: 10.1117/12.815377
Show Author Affiliations
Eric B. Flynn, Univ. of California, San Diego (United States)
Michael D. Todd, Univ. of California, San Diego (United States)


Published in SPIE Proceedings Vol. 7292:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009
Masayoshi Tomizuka, Editor(s)

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