2021
DOI: 10.30537/sjet.v4i1.777
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A Deep Learninag based Non-invasive and Real-Time Fault Detection System for 3-Phase Induction Motors

Abstract: Induction motor plays a major role in industry. Despite of its strong structure, induction motors are often prone to faults. There are different types of faults that occurs in the induction motor such as bearing faults, winding faults, etc. Thus motors in major applications require continuous and effective monitoring. In this paper, a stand-alone and non-invasive condition monitoring system that can monitor the condition of 3-phase induction motor using motor current signatures with aid of deep learning (DL) a… Show more

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