Ph.D Students
Alexandros Sergakis
Ph.D Research Area: Fault diagnosis and Prognosis in Electromechanical Systems of Renewable Power Production.
Marios Salinas
Ph.D Research Area: Development of an Intelligent Fault Diagnosis Method for Three-Phase Permanent Magnet Machines.
Nikolaos Gkiolekas
Ph.D Research Area: Electromagnetic Analysis and Diagnosis in Permanent Magnet Generators for Renewables.
Project Students
Maria Razou
Thesis Title: Permanent magnet motor design for single-seat electric vehicle
Michael-Marios Chaniotis
Thesis Title: Analytical modeling of synchronous permanent magnet generator under healthy and faulty operation via magnetic equivalent circuits
Spyros Pantzekos-Papageorgopoulos
Thesis Title: Electric motor design for aerospace traction applications
Stavroula Kontogianni
Thesis Title: Traction motor electromagnetic analysis driven by power converter
Ioannis Sinanis
Thesis Title: Electromagnetic analysis of a permanent magnet motor for a single-seat electric vehicle
Simeon Simeonidis
Thesis Title: Optimization of the dumping profile of point-absorber wave energy converters: A case study off the coast of Crete
Magdalini Maragkoudaki
Thesis Title: New experimental modeling of traction motor poles and degradation impact
Theodoros Tikas
Thesis Title: Electromagnetic analysis of linear electric motor for vehicle suspension
Ariadni Stergiou
Thesis Title: Electromagnetic analysis of induction motors with axial cooling air ducts under broken bars faults.
Dimitrios Laskos
Thesis Title: Electromagnetic analysis of permanent magnet electric machine through collaborative simulation between FEA and Simulink
Evthymios-Sotirios Pappas
Thesis Title: Thermal Behaviour and operational prognosis of permanent magnet generator for renewable energy sources
Stylianos Chalkias
Thesis Title: Tesla 3 traction motor electromagnetic analysis
Michail Zervogiannis
Thesis Title: Electromagnetic analysis of the Audi e-tron induction motor fed by power converter
Alumni
Adrian Martin Marron (Erasmus student)
Thesis Title: Electromagnetic analysis and condition monitoring of induction motors
Dimitrios-Marios Zygouris
Thesis Title: Conditioning monitoring and fault diagnosis of cage induction motors at the MW scale
Konstantinos Tournis
Thesis Title: Condition monitoring of ship mounted electrical machines with field measurements
Panagiotis Michelakakis
Thesis Title: Study of an electric motor drive system using the SPWM method
Stefanos Karampas
Thesis Title: Eccentricity impact and detection in permanent magnet generators for renewables
Alexandros Sergakis
Thesis Title: Fault diagnosis in direct drive permanent magnet generators for off-shore wind turbines
Marios Salinas
Thesis Title: Development of a diagnostic tool for identifying non-adjacent broken bars in industrial cage motors
Nikolaos Gkiolekas
Thesis Title: Stator inter-turn faults impact and detection in permanent magnet generation for renewables
Nikitas Ravanis
Thesis Title: Experimental modelling of stator poles for traction motors and influence of manufacturing defects
Christos-Emmanouil Apanomeritakis
Thesis Title: Stator inter-turn fault diagnosis in direct-online starting permanent magnet motors
Antonios Douvaras
Thesis Title: The impact of multiparameter ageing of stator poles of traction motors on diagnostic methods
Dimitrios Chronopoulos
Thesis Title: Dielectric properties of pole insulation oftTraction motors under ageing with thermal cycling
Panagiotis Liotsis
Thesis Title: Investigation on the electromagnetic variables' harmonic behaviour of induction motors under rotor faults
Dimitrios Karampasoglou
Thesis Title: Electromagnetic analysis of three phase cage induction motor under eccentricity fault
Nikolaos Trachalakis
Thesis Title: Avoidance of false negative rotor false diagnoses in industrial induction motors
Dimitrios Glykos
Thesis Title: Dielectric properties of pole insulation of traction motors under constant thermal ageing
Natalia Fatsea
Thesis Title: Electromagnetic analysis of line start permanent magnet synchronous motor with demagnetization and broken bar faults
Antonios Karavitakis
Thesis Title: Machine learning applications on electrical machines fault diagnosis
