Status Review On Neural / Fuzzy Logic Techniques For Induction Motor Condition Monitoring

Condition monitoring of induction motors is an established maintenance strategy for the detection of incipient faults as to avoid the unexpected failure. Now a days artificial intelligence techniques are being preferred over traditional protective relays for the condition monitoring of induction motors. In this paper an attempt has been made to review the applications of neural/fuzzy artificial intelligence techniques for induction motor condition monitoring. Expert system, fuzzy logic system, artificial neural networks, genetic algorithm have been extensively reported in literature. These systems and techniques are integrated into each other and also with more traditional techniques. A brief description of various AI techniques highlighting the merits and demerits of each has been discussed. The futuristic trends on condition monitoring of induction motors are also indicated.