Optimal Ultrasonic Sensor Configuration Based on Value of Information

Cantero-Chinchilla, Sergio; Chiach�o, Juan; Chiach�o, Manuel

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.

Citation

Cantero-Chinchilla, S., Chiachío, J., & Chiachío, M. (2019, September). Optimal Ultrasonic Sensor Configuration Based on Value of Information. Presented at 29th European Safety and Reliability Conference, Hannover, Germany

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 29th European Safety and Reliability Conference
• Start Date: Sep 22, 2019
• End Date: Sep 26, 2019
• Acceptance Date: Aug 4, 2019
• Online Publication Date: Sep 26, 2019
• Publication Date: Sep 26, 2019
• Deposit Date: Oct 9, 2019
• Publicly Available Date: Oct 9, 2019
• Pages: 2707-2713
• Book Title: Proceedings of the 29th European Safety and Reliability Conference
• ISBN: 9789811127243
• 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
• Public URL: https://nottingham-repository.worktribe.com/output/2791081
• Related Public URLs: https://esrel2019.org/#/
• Contract Date: Oct 9, 2019