DETECTION OF ELECTRICAL FAULTS IN INDUCTION MOTOR FED BY INVERTER USING SUPPORT VECTOR MACHINE AND RECEIVER OPERATING CHARACTERISTIC

Fault in induction motor is crucial problem in indu strial processes. This paper presents the system fo r electrical fault detection in induction motor fed b y inverter. Current spectrum with different frequen cy is used to fault monitoring. Faults observed includes variation of frequency, unbalance voltage, and inte r turn short circuits. Through an experiment, the fault wa s fired and the current spectrum recorded at steady state condition. Preprocessing is performed before the id entification process. It includes noise reduction u sing wavelet analysis and feature extraction with Princi pal Component Analysis (PCA). Both processes are intended to eliminate the noise, reducing the dimen sion of feature, and retrieve components of the opt imal features for classification. Strength of identifica t on capability using Support Vector Machine (SVM) is 83.51%. Based on the ROC (Receiver Operating Charac teristic) analysis, the SVM classifier has a good enough performance. This is indicated by the sensit ivity is 74.31%, specificity is 47.30% and G-Mean is 1.1028.

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