Fuzzy Intelligent System for Detection of Multiple Switch Open Fault in Induction Motor Drive System

Detection and diagnosis of faults in Induction Motor Drive System (IMDS) is critical in industries to avoid unexpected production shut down and subsequent financial losses. This paper presents the design and development of an intelligent, fuzzy based decision support system to detect multiple switch open faults in the drive of IMDS. The proposed technique is developed by systematically analyzing various combinations of multiple switch open fault cases under different loads. The root mean square value of the stator currents together with its Total Harmonic Distortion (THD) are unveiled in this study as the decision variables to accurately transpire various fault conditions. As the functional relationship between the extracted parameters and fault condition cannot not be mapped using binary variables, fuzzy logic is adopted to distinctly identify the fault in the drive. The developed system is tested using MATLAB/SIMULINK. The proposed system is competent to provide the plant operators with timely and informative operational guidance, enabling them to make accurate diagnostic decisions.