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This paper presents the results of stator inter-turn fault detection and diagnosis in three phase induction motor using different types of current monitoring techniques such as: motor current signature analysis (MCSA), Current Concordia Vector, extend park vector approach (EPVA). Where the use of several signal processing techniques for extracting more information about the fault, will help us knowing the characteristics of each method in order to choose the best way to diagnose this type of machine fault. The tests show that the EPVA technique can diagnose the inter-turn fault with high accuracy compared with the other techniques. Because there is a similarity between the inter-turn frequency component and other machine faults frequency components (mixed air gap eccentricity, unbalance supply voltage) resulting a wrong discussion about the machine condition.

Advance Current Monitoring Techniques to Detect and Diagnosis the Inter-Turn Stator Fault in Three Phase Induction Motor