Abstract
To ensure complex systems reliability and to extent their life cycle, it is crucial to properly and timely correct eventual faults. In this context, this paper propose an intelligent approach to detect single and multiple faults in complex systems based on soft computing techniques. This approach is based on the combination of fuzzy logic reasoning and Artificial Fish Swarm optimization. The experiments focus on a simulation of the three-tank hydraulic system, a benchmark in the diagnosis domain.
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