Bearing Fault Detection in Induction Motors Using Line Currents
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Abstract
This paper focuses on the development of a bearing fault detection model for induction motors using line currents. The graphical and numerical analysis of the model is conducted using Park's vector approach and envelope signals based on the Hilbert transform. The proposed model is evaluated on currents measured using eight different types of induction motors. The graphical results from the Concordia pattern between d and q-components of stator currents show that healthy bearing behavior is circular compared to that of the elliptical faulty bearing. The numerical results demonstrate that the minimum and maximum envelopes for the d and q-components of the stator currents are significant at more than one. The sum of kurtosis for the envelope signal of d and q-components in the stator currents is more significant at less than 5.0.
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