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Optimal Ultrasonic Sensor Configuration for Plate-Like Structures Using the Value of Information

Cantero-Chinchilla, Sergio; Chiach�o, Juan; Chiach�o, Manuel; Chronopoulos, Dimitrios; Jones, Arthur; Essa, Yasser; de la Escalera, Federico Mart�n

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Authors

Sergio Cantero-Chinchilla

Juan Chiach�o

Manuel Chiach�o

Dimitrios Chronopoulos

Arthur Jones

Yasser Essa

Federico Mart�n de la Escalera



Abstract

Condition-based maintenance is based on reliable and effective structural health monitoring systems able to provide accurate information about the health condition of a structure. Among the factors that influence the accuracy and reliability of such systems , the number and position of sensors stand out as key features. As a rule, the larger the number of sensors, the more and better information can be obtained. However, a practical solution is required to find a healthy balance between the cost of the monitoring system and the adoption of the information that they provide as optimality. To rigorously address such optimization problem and provide an optimal design of the monitoring system, this paper proposes the use of the value of information and the expected information gain. The methodology is illustrated using a stiffened plate-like structure with a bounded damaged area, ultrasonic guided-waves as SHM technique, and different sensor positioning strategies. The results reveal the value of information as a rational index to provide optimal ultrasonic sensor configuration and rank different positioning alternatives.

Citation

Cantero-Chinchilla, S., Chiachío, J., Chiachío, M., Chronopoulos, D., Jones, A., Essa, Y., & de la Escalera, F. M. (2019). Optimal Ultrasonic Sensor Configuration for Plate-Like Structures Using the Value of Information. In Structural Health Monitoring 2019 Enabling Intelligent Life-cycle Health Management for Industry Internet of Things (IIOT): Proceedings of 12th International Workshop on Structural Health Monitoring (1455-1462). https://doi.org/10.12783/shm2019/32267

Presentation Conference Type Conference Paper (Published)
Conference Name 12th International Workshop on Structural Health Monitoring
Start Date Sep 10, 2019
End Date Sep 12, 2019
Acceptance Date Aug 27, 2019
Online Publication Date Sep 12, 2019
Publication Date Nov 1, 2019
Deposit Date Oct 9, 2019
Publicly Available Date Oct 9, 2019
Volume 1
Pages 1455-1462
Book Title Structural Health Monitoring 2019 Enabling Intelligent Life-cycle Health Management for Industry Internet of Things (IIOT): Proceedings of 12th International Workshop on Structural Health Monitoring
ISBN 9781605956015
DOI https://doi.org/10.12783/shm2019/32267
Public URL https://nottingham-repository.worktribe.com/output/2790868
Contract Date Oct 9, 2019

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