Dr Panagiotis Panagiotou
PhD, MSc, MEng, BEng
School of Electrical and Electronic Engineering
Lecturer Electrical Machines and Drives
MIET, MIEEE
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Full contact details
School of Electrical and Electronic Engineering
Sir Frederick Mappin Building
Mappin Street
Sheffield
S1 3JD
- Profile
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I received the 5-year Diploma (BEng & MEng) in Electrical & Computer Engineering from the University of Patras, Greece, in 2015, specialising in electrical power systems, electromechanical energy conversion, and electrical machines. I received the MSc degree in complex systems and network theory from the Aristotle University of Thessaloniki, Department of Mathematics, in 2017, and the PhD degree in condition monitoring and fault diagnostics of electrical machines from Coventry University, UK, in 2020.
In February 2021, I joined the Electronic & Electrical Engineering Department of the University of Sheffield as a post-doctoral research associate in electrical machines at the Rolls-Royce University Technology Centre in Advanced Electrical Machines.
Since January 2022, I have been a lecturer in electrical machines with the EMD group of the EEE Department of the University of Sheffield.
My current research interests include condition monitoring, fault finding and diagnostics of electrical machines, digital signal processing for diagnostic purposes, as well as new technologies for the inspection, testing, and repair of electrical machines.
- Qualifications
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- PhD, Coventry University, UK, 2020
- MSc, Aristotle University of Thessaloniki, Greece, 2017
- BEng & MEng, University of Patras, Greece, 2015
- Research interests
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- Condition monitoring & fault diagnostics of electrical machines
- Digital signal processing for industrial diagnostics
- New technologies for the inspection, testing & repair of electrical machines
- Powertrains for electrified transportation
- Publications
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Journal articles
- Extraction of frequency information for the reliable screening of rotor electrical faults via torque monitoring in induction motors. IEEE Transactions on Industry Applications, 57(6), 5949-5958. View this article in WRRO
- A critical comparison on attitude estimation: from gaussian approximate filters to coordinate-free dual optimal control. IET Control Theory and Applications, 15(10), 1297-1313. View this article in WRRO
- Detection of simultaneous mechanical faults in 6‐kV pumping induction motors using combined MCSA and stray flux methods. IET Electric Power Applications, 15(5), 643-652.
- Generation of Mechanical Frequency Related Harmonics in the Stray Flux Spectra of Induction Motors Suffering From Rotor Electrical Faults. IEEE Transactions on Industry Applications, 56(5), 4796-4803.
- Scheme for synchronous machine stator turn‐to‐turn protection. IET Electric Power Applications, 14(4), 716-722.
- On the broken rotor bar diagnosis using time–frequency analysis: ‘Is one spectral representation enough for the characterisation of monitored signals?’. IET Electric Power Applications, 13(7), 932-942.
- FEM approach for diagnosis of induction machines' non‐adjacent broken rotor bars by short‐time Fourier transform spectrogram. The Journal of Engineering, 2019(17), 4566-4570.
- Efficiency Assessment of Induction Motors Operating Under Different Faulty Conditions. IEEE Transactions on Industrial Electronics, 66(10), 8072-8081.
- Stray Flux Monitoring for Reliable Detection of Rotor Faults Under the Influence of Rotor Axial Air Ducts. IEEE Transactions on Industrial Electronics, 66(10), 7561-7570.
Conference proceedings papers
- A versatile and low-cost approach to power electronics practical training. 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024) (pp 653-658)
- A compact and modular remote access platform for enhanced practical education in power electronics, machines, and drives. 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024) (pp 646-652)
- Transformerless Wind Energy System Based on a Series Double NPC Multilevel Rectifier and a Six-Phase Asymmetrical PMSG. 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 28 August 2023 - 31 August 2023.
- Thermal Degradation Profile of Concentrated Stator Winding Insulation by Impedance Spectroscopy. 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 28 August 2023 - 31 August 2023.
- Search Coil Based Detection of the Inter-Turn Short Circuits in Aircraft Permanent Magnet Synchronous Machine by Signal Frequency Extraction. 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 28 August 2023 - 31 August 2023.
- A Novel Method for Rotor Fault Diagnostics in Induction Motors using Harmonic Isolation. 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 28 August 2023 - 31 August 2023.
- Ex-situ Inspection of Concentrated Stator Coils by Means of Impedance Spectroscopy. 2022 International Conference on Electrical Machines (ICEM), 5 September 2022 - 8 September 2022.
- Survey of Insulation in Electrical Machines for Aerospace: Systems, Materials & Inspection. 2022 International Conference on Electrical Machines (ICEM), 5 September 2022 - 8 September 2022.
- Induction Motors Torque Analysis via Frequency Extraction for Reliable Broken Rotor Bar Detection. 2020 International Conference on Electrical Machines (ICEM), 23 August 2020 - 26 August 2020.
- Introduction of the Zero-Sequence Stray Flux as a Reliable Diagnostic Method of Rotor Electrical Faults in Induction Motors. IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, 14 October 2019 - 17 October 2019.
- The Role of the Mechanical Speed Frequency on the Induction Motor Fault Detection via the Stray Flux. 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 27 August 2019 - 30 August 2019.
- Recent Experiences with MCSA and Flux Condition Monitoring of Mechanical Faults in 6kV Induction Motors for Water Pumping Applications. 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 27 August 2019 - 30 August 2019.
- Frequency Extraction of Current Signal Spectral Components: A New Tool for the Detection of Rotor Electrical Faults in Induction Motors. 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 27 August 2019 - 30 August 2019.
- A New Approach for Broken Rotor Bar Detection in Induction Motors Using Frequency Extraction in Stray Flux Signals. IEEE Transactions on Industry Applications, Vol. 55(4) (pp 3501-3511)
- FEM Study of Induction Machines Suffering from Rotor Electrical Faults Using Stray Flux Signature Analysis. 2018 XIII International Conference on Electrical Machines (ICEM), 3 September 2018 - 6 September 2018.
- Analysis of Stray Flux Spectral Components in Induction Machines under Rotor Bar Breakages at Various Locations. 2018 XIII International Conference on Electrical Machines (ICEM), 3 September 2018 - 6 September 2018.
- Reliable Detection of Rotor Bars Breakage in Induction Motors via MUSIC and ZSC. IEEE Transactions on Industry Applications, Vol. 54(2) (pp 1224-1234)
- Breakdown resistance analysis of traction motor winding insulation under thermal ageing. 2017 IEEE Energy Conversion Congress and Exposition (ECCE), 1 October 2017 - 5 October 2017.
- Investigation of traction motor windings' insulation capacitance at switching frequencies under accelerated thermal stress. 2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 29 August 2017 - 1 September 2017.
- The influence of semi-magnetic wedges on the electromagnetic variables and the harmonic content in induction motors. 2012 XXth International Conference on Electrical Machines, 2 September 2012 - 5 September 2012.
- Extraction of frequency information for the reliable screening of rotor electrical faults via torque monitoring in induction motors. IEEE Transactions on Industry Applications, 57(6), 5949-5958. View this article in WRRO
- Teaching activities
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- Electrical Energy & Conversion
- Machine Design