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Optimal Ultrasonic Sensor Configuration Based on Value of Information

Cantero-Chinchilla, Sergio; Chiachío, Juan; Chiachío, Manuel

Authors

Sergio Cantero-Chinchilla sergio.canterochinchilla1@nottingham.ac.uk

Juan Chiachío juan.chiachio-ruano@strath.ac.uk

Manuel Chiachío mchiachio@ugr.es

Abstract

Optimal sensor configuration has been proven to be essential in the design of structural health monitoring systems. Its impact in maintenance-related actions in an economic and safety-related way has motivated many authors to investigate this complex problem. In particular, the structural health monitoring systems should be able to provide enough informativeness with a relatively small cost, being affordable for industries. In this paper, such optimality is addressed from the viewpoint of the value of information, combining both the cost and information gain of a structural health monitoring system. In addition, a multiobjective optimization is proposed to address the optimality of the cost-related functions, and its influence in the final decision-making process. The results of the case study show the importance of the definition of a balanced cost-related function. In general, the cubic interpolation spline function defined by two intermediate interpolating points results to be the most appropriate inverse cost functions.

Start Date Sep 22, 2019
Publication Date Sep 26, 2019
Pages 2707-2713
Book Title Proceedings of the 29th European Safety and Reliability Conference
ISBN 9789811127243
Institution Citation Cantero-Chinchilla, S., Chiachío, J., & Chiachío, M. (2019). Optimal Ultrasonic Sensor Configuration Based on Value of Information. In Proceedings of the 29th European Safety and Reliability Conference, 2707-2713. https://doi.org/10.3850/978-981-11-2724-3_+0221-cd
DOI https://doi.org/10.3850/978-981-11-2724-3_+0221-cd
Keywords Value of information; Bayesian inverse problem; ultrasound; guided-waves; optimal sensor configuration; SHM
Related Public URLs https://esrel2019.org/#/

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