Martin Marron Adrian, "Electromagnetic analysis and condition monitoring of induction motors", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2025
https://doi.org/10.26233/heallink.tuc.103778
The present thesis outlines the design, modelling and electromagnetic analysis of a squirrel cage induction motor under both healthy and faulty conditions. The development of a two-dimensional geometry was undertaken using AutoCAD software, and consequently, a two-dimensional simulation was conducted utilising SIMCENTER MAGNET, incorporating the Finite Element Analysis (FEA)method. Numerous diagnostic techniques—such as Motor Current Signature Analysis (MCSA), Stray Flux Signature Analysis (SFSA), and Short-Time Fourier Transform (STFT)—were employed to determine the motor’s response in both star and delta configurations. The study focuses on identifying and comparing the effects of rotor bar faults, with the objective of check the efficiency of these preventive techniques. The results demonstrate that electromagnetic simulation combined with signal processing techniques provides a powerful tool for early fault detection in industrial motors.