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In this work we propose to use an approach based on genetic algorithms to obtain analytical redundancy relations to study the diagnosability property on a given continuous system, and if this not fulfill, our approach allows studying the sensor placement problem in order to fulfill it. The redundancy relations are based on the minimal test equation support and in a structural analysis over a bipartite graph. The faults analysis is studied using a multi-objective fitness function in two geneticdoi:10.12988/ams.2015.52122 fatcat:szkb6d5wlneg7n4x3niwtkmlui