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Proceedings Paper

Distributed computing and sensing for structural health monitoring systems
Author(s): Kyle Mitchell; Sridhar Sana; Pengxiang Liu; Krishnamohan Cingirikonda; Vittal S. Rao; Hardy Joseph Pottinger
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Paper Abstract

Structural health monitoring involves automated evaluation of the condition of the structural system based on measurements acquired from the structure during natural or controlled excitation. The data acquisition and the ensuring computations involved in the health monitoring process can quickly become prohibitively expensive with the increase in size of the structure under investigation. In this paper, we propose a distributed sensing and computation architecture for health monitoring of large structures. This architecture involves a central processing unit that communicates with several data communication and processing clusters paced on the structure by wireless means. With this architecture the computation and acquisition requirements on the central processing unit can be reduced. Two different hardware implementation of this architecture one involving RF communication links and the other utilizing commercial wireless cellular phone network are developed. A simple health monitoring experiment that uses neural network based pattern classification is carried out to show effectiveness of the architecture.

Paper Details

Date Published: 21 June 2000
PDF: 11 pages
Proc. SPIE 3990, Smart Structures and Materials 2000: Smart Electronics and MEMS, (21 June 2000); doi: 10.1117/12.388896
Show Author Affiliations
Kyle Mitchell, Univ. of Missouri/Rolla (United States)
Sridhar Sana, Univ. of Missouri/Rolla (United States)
Pengxiang Liu, Univ. of Missouri/Rolla (United States)
Krishnamohan Cingirikonda, Univ. of Missouri/Rolla (United States)
Vittal S. Rao, Univ. of Missouri/Rolla (United States)
Hardy Joseph Pottinger, Univ. of Missouri/Rolla (United States)


Published in SPIE Proceedings Vol. 3990:
Smart Structures and Materials 2000: Smart Electronics and MEMS
Vijay K. Varadan, Editor(s)

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