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A Self-organising Sensing System for Structural Health Management

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4253))

Abstract

This paper describes a new approach to structural health monitoring and management (SHM) that aims to diagnose and respond to damage using the self-organization of a complex system of distributed sensors and processing cells. To develop and evaluate the approach, an experimental SHM test-bed system has been developed, with the aim of detecting and characterising the damage from high-velocity impacts such as those due to micrometeoroids on a space vehicle. An important new feature of the system is an ability to support mobile (robotic) agents that can roam the exterior surface of the test-bed, obtaining additional damage information and providing a crude repair capability. The focus of this paper is the development of a self-organised approach to the operation of such a robotic agent, for which it obtains local information by direct communication with the fixed agents embedded in the underlying structure.

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Hoschke, N., Lewis, C.J., Price, D.C., Scott, D.A., Edwards, G.C., Batten, A. (2006). A Self-organising Sensing System for Structural Health Management. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_45

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  • DOI: https://doi.org/10.1007/11893011_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46542-3

  • Online ISBN: 978-3-540-46544-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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