Institutional Repository
Technical University of Crete
Technical University of Crete
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/CDF31B9D-52AA-4B2A-AAD2-4C5A57FED7DA | - |
| Identifier | https://doi.org/10.26233/heallink.tuc.103778 | - |
| Language | en | - |
| Extent | 88 pages | en |
| Title | Electromagnetic analysis and condition monitoring of induction motors | en |
| Creator | Martin Marron Adrian | en |
| Creator | Martin Marron Adrian | el |
| Contributor [Thesis Supervisor] | Gyftakis Konstantinos | en |
| Contributor [Thesis Supervisor] | Γυφτακης Κωνσταντινος | el |
| Contributor [Committee Member] | Peppas Georgios | en |
| Contributor [Committee Member] | Πεππας Γεωργιος | el |
| Contributor [Committee Member] | Morinigo-Sotelo Daniel | en |
| Publisher | Πολυτεχνείο Κρήτης | el |
| Publisher | Technical University of Crete | en |
| Academic Unit | Technical University of Crete::School of Electrical and Computer Engineering | en |
| Content Summary | 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. | en |
| Type of Item | Διπλωματική Εργασία | el |
| Type of Item | Diploma Work | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2025-07-09 | - |
| Date of Publication | 2025 | - |
| Subject | Induction motors | en |
| Bibliographic Citation | 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 | en |
Copyright © DIAS 2013
