Online Fault Diagnosis of Three Phase Squirrel Cage Induction Motor Stator Electrical Faults using Current Parks Vector Approach and Motor Current Signature Analysis

Abstract

Nowadays the online fault diagnosis technique is getting more attention in electrical manufacturing and processing industries. Because of its unique advantages and the fast response to identify faults. In such a way the anticipated process also deals with the talented practice called as Motor Current Signature Analysis (MCSA) to diagnosis the stator faults of Induction Motors. The projected technique lies in the actuality that by using current park's vector approach, the inbuilt non-stationary character of current in the stator winding can be precisely considered. The Park's Vector approach can be used to detect the different types of motor's faults. The methods have an ability to distinguish the machine conditions like faulty and healthy one by the way of representing pattern, is the key characteristic of the projected technique. In the Park's Vector approach the results of the system are represented as a wonderful circle for undamaged machine and the elliptic representation is used to unbalance due to winding faults. Thus the process of comparing the patterns generated by the system the machine condition can detect easily. In this paper the different fault of the three phase squirrel cage induction motor typical faults is analyzed by patterns of Park's Vector.