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Prompt detection and diagnosis of faults in industrial systems are essential to minimize the production losses, increase the safety of the operator and the equipment. Several techniques are available in the literature to achieve these objectives. This paper presents fuzzy based control and fault detection for a 6/4 switched reluctance motor. The fuzzy logic control performs like a classical proportional plus integral control, giving the current reference variation based on speed error and its change. Also, the fuzzy inference system is created and rule base are evaluated relating the parameters to the type of the faults. These rules are fired for specific changes in system parameters and the faults are diagnosed. The feasibility of fuzzy based fault diagnosis and control scheme is demonstrated by applying it to a simulated system.