Abstract: This paper presents a comprehensive fault classification framework for three-phase Induction Motors (IMs) using a novel Grey Wolf Optimization-enhanced Support Vector Machine (GWO-SVM) ...
Abstract: The optimization of three-phase induction motors plays a vital role in improving energy efficiency, enhancing performances, and reducing operational costs in an industrial applications. This ...
This project explores how machine learning can accelerate genetic algorithm (GA) optimization in engineering design problems. Using induction motor design optimization as a case study, a surrogate ...
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