Andrey S. Solovyov

Application of physics-informed machine learning models for diagnosis of inter-turn short circuits in an induction motor

Aim. To develop a physics-informed machine learning model capable of diagnosing inter-turn short circuits in the windings of squirrel-cage induction motors with high accuracy. Materials and Methods. This study utilized a neural network training method using stator current data and FFT analysis, along with programming...