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21 June 2000 Distributed computing and sensing for structural health monitoring systems
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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.
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Kyle Mitchell, Sridhar Sana, Pengxiang Liu, Krishnamohan Cingirikonda, Vittal S. Rao, and Hardy Joseph Pottinger "Distributed computing and sensing for structural health monitoring systems", Proc. SPIE 3990, Smart Structures and Materials 2000: Smart Electronics and MEMS, (21 June 2000);


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