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Detection of Stator Faults in Induction Motors Using Alpha-Beta Transform and Image Analysis

In the present work, the diagnosis of incipient faults in three-phase induction motors is proposed. The system consists in to submit the three-phase induction motor signals to the alpha-beta transform. After that, the pattern obtained from the alpha-beta transform is submitted to the Hough transform in order to find the set of the parameters that describe the pattern. Finally, the set of parameters obtained by the Hough transform is used as input to the KNN algorithm to classify into three groups: Not fault, Medium fault, and Severe fault. The Classifier was tested obtaining 93.9% of accuracy.