Hybrid intelligent approach to diagnose multiple faults in complex systems

Abstract

The presence of faults in complex systems can cause serious damage and even generate fatal situations. Proper and timely diagnosis of behavior of such systems is then crucial to detect the presence of eventual faults and isolate their causes. In this context, this paper describes a new intelligent approach to diagnose multiple faults in complex systems. This approach is based on the combination of a fuzzy system optimized by cultural algorithm and causal reasoning. The ongoing experiments focus on a simulation of the three-tank hydraulic system, a benchmark in the diagnosis domain.