Abstract

This paper presents a measurement system design methodology that incorporates damage scenarios. One of the goals of a measurement system is to detect damage for safety and for management of maintenance activities. This study builds upon previous research at EPFL in the area of model based diagnosis. An existing bridge in Switzerland is used to illustrate how damage scenarios are identified and a population of models are generated. A greedy algorithm is used to place sensors such that there is maximum separation between the predictions of the models in the population.

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Published In

Go to Computing in Civil Engineering (2007)
Computing in Civil Engineering (2007)
Pages: 615 - 623

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Published online: Apr 26, 2012

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Prakash Kripakaran [email protected]
IMAC, Struct. Eng. Inst., Station 18, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland. E-mail: [email protected]
Suraj Ravindran [email protected]
Struct. Eng. Inst., Station 18, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland. E-mail: [email protected]
Sandro Saitta [email protected]
School of Comp. and Comm. Sc., Station 18, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland. E-mail: [email protected]
Ian F. C. Smith [email protected]
Struct. Eng. Inst., Station 18, Ecole Polytechnique Fédérale de Lausanne (EPFL); CH-1015 Lausanne, Switzerland. E-mail: [email protected]

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