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Optimal ultrasonic sensor configuration for plate-like structures using the value of information

  • Sergio Cantero-Chinchilla*
  • , Juan Chiachio
  • , Manuel Chiachio
  • , Dimitrios Chronopoulos
  • , Arthur Jones
  • , Yasser Essa
  • , Federico Martin De La Escalera
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

    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.

    Original languageEnglish
    Title of host publicationStructural Health Monitoring 2019
    Subtitle of host publicationEnabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
    EditorsFu-Kuo Chang, Alfredo Guemes, Fotis Kopsaftopoulos
    PublisherDEStech Publications, Inc.
    Pages1455-1462
    Number of pages8
    ISBN (Electronic)9781605956015
    DOIs
    Publication statusPublished - 2019
    Event12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019 - Stanford, United States
    Duration: 10 Sept 2019 → 12 Sept 2019

    Publication series

    NameStructural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
    Volume1

    Conference

    Conference12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019
    Country/TerritoryUnited States
    CityStanford
    Period10/09/19 → 12/09/19

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