Fault diagnosis of motor using fuzzy logic technique

Electric motors are simple, robust and can be controlled easily through inverters. These features help in acceptance of electric motors for all kind of industrial applications. With condition monitoring technique, faults can be detected in early stage which helps in reduction of production cost of electric motor. This result can be achieved by means of increment in industrial efficiency and reduction in productive line stoppage. The main motive of this paper is to develop a computer based system by applying Fuzzy Logic. The system can be used to identify and estimate the condition of an induction motor. Several fault analysis techniques are available and vibration analysis techniques is one to detect the unusual vibrations in the motor which causes severe fault and responsible for outages. Analytical methods require in depth knowledge of motor model for fault detection so it is always feasible to implement. Therefore one important computer based technique is fuzzy logic interference system to monitor the health of motor through vibration analysis whether it is in good condition or bad. A simulation model is developed and implemented in Matlab/SIMULINK for Induction motor using Fuzzy-logic Controller.