Title :
Hybrid intelligent approach to diagnose multiple faults in complex systems
Author :
Fliss, Imtiez ; Tagina, Moncef
Author_Institution :
COSMOS Lab., Univ. of Manouba, Tunisia
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.
Keywords :
fault diagnosis; fault tolerant computing; fuzzy systems; graph theory; inference mechanisms; large-scale systems; causal graph; causal reasoning; complex systems; cultural algorithm; diagnosis domain; fatal situations; fault detection; fault diagnosis; fault isolation; fuzzy system; hybrid intelligent approach; three-tank hydraulic system; Cultural differences; Fault detection; Fault diagnosis; Fuzzy logic; Mathematical model; Redundancy; Sociology; Causal Graph; Cultural Algorithm; Fuzzy System; Multiple Fault Diagnosis; causal reasoning;
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2014 14th International Conference on
Print_ISBN :
978-1-4799-7632-4
DOI :
10.1109/HIS.2014.7086204
