Fault diagnosis of induction motor using parks vector approach

Induction motors have revolutionized the way of human living and resulted in the modern life style. These motors are exposed to a variety of undesirable conditions and situations such as maloperations due to which it may to go into a failure period. The failure if not detected at its early stages, can result in a total loss of the machine itself, in addition to a likely costly downtime of the whole plant sometimes may even result in the loss of lives. In this paper, a method based on PVA for detection of induction motor faults is presented. Using suggested method it is also possible to discriminate the type of fault by pattern recognition. This paper also focuses on the detection of the mixed faults in squirrel induction motors. In order to evaluate the ability of the method several simulation results are performed. The simulated results suggest that this method is effective and accurate and can be widely used in the induction motor fault diagnosis.