This paper deals with the use of a structural modelling in order to optimise the cost of a measurement system with dependability constraints. The aim of the proposed method is to determine the sensor placement that tolerates a given number of failures with the lowest cost. A structural model is used. It describes the links between the physical quantities and is employed in order to determine the potential analytical redundancies. With that, the optimisation problem becomes an integer linear programming (ILP) problem whose resolution provides the best reliable and lowest-cost system.
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