in
International Scientific Journals

JRN40. N. V. Chatzipapas, Y. L. Karnavas, Adaptive microprocessor-based Interval Type-2 fuzzy logic control for DC micro-motor considering hardware limitations, submitted to international scientific journal, under review. 

JRN39. E. Nivolianiti, Y. L. Karnavas, G. Chatziaslanoglou, Techno-Economic and Life Cycle Cost Analysis for Hybrid Short-Sea Passenger Vessels based on Optimization of Different Energy Storage Configurations and Management, Energy Conversion & Management, vol. 343, 2025, 120148, (doi: https://doi.org/10.1016/j.enconman.2025.120148).

JRN38. E. Nivolianiti, Y. L. Karnavas, F. Becker, Y. Belkhier, J.-F. Charpentier, Hybrid AC Shipboard Microgrid Time Delayed LFC and AVR Controllers Tuning through Gazelle Optimization Algorithm and Real-Time HIL Implementation, IEEE Journal of Oceanic Engineering, accepted, to be published (doi: https://doi.org/10.1109/JOE.2025.3576522).

JRN37. E. Nivolianiti, Y. L. Karnavas, J.-F. Charpentier, Fuzzy Logic based Energy Management Strategy for Hybrid Fuel Cell Electric Ship Power and Propulsion System, Journal of Marine Science and Engineering, in Special Issue: New Advances on Energy and Propulsion Systems for Ship—Edition II, 2024, vol. 12, no. 10, 1813, (doi: https://doi.org/10.3390/jmse12101813).

JRN36. D. A. Moysidis, G. D. Karatzinis, Y. S. Boutalis, Y. L. Karnavas, A Study of the Noise Effect in Detection and Diagnosis of Bearing Faults in Electrical Machines Considering Different Representative Feature Models, Machines, in Special Issue: Condition Monitoring and Fault Diagnosis of Induction Motors, 2023, vol. 11, no. 11, 1029 (doi: https://doi.org/10.3390/machines11111029). 

JRN35. E. Nivolianiti, Y. L. Karnavas, J.-F. Charpentier, Energy Management of Shipboard Microgrids Integrating Energy Storage Systems - A Review, Renewable and Sustainable Energy Reviews, 2023, vol. 189, 114012, (doi: https://doi.org/10.1016/j.rser.2023.114012).

JRN34. Y. L. Karnavas, E. Nivolianiti, Harris Hawks Optimization Algorithm for Load Frequency Control of Isolated Multi-Source Power Generating Systems, International Journal of Emerging Electric Power Systems, 2023, (doi: https://doi.org/10.1515/ijeeps-2023-0035). 

JRN33. Y. L. Karnavas, E. Nivolianiti, Optimal Load Frequency Control of a Hybrid Electric Shipboard Microgrid using Jellyfish Search Optimization Algorithm, Applied Sciences, 2023, vol. 13, no. 10, 6128, (doi: https://doi.org/10.3390/app13106128).

JRN32. C. A. Remli, C. Guerroudj, J.-F. Charpentier, T. Kendjouh, N. Bracikowski, Y. L. Karnavas, Control of an Outer Rotor Doubly Salient Permanent Magnet Generator for Fixed Pitch KW Range Wind Turbine using Overspeed Flux Weakening,  Actuators 2023, vol. 12, no. 4, 168. (doi: https://doi.org/10.3390/act12040168).

JRN31. V. Linardos, M. Drakaki, P. Tzionas, Y. L. Karnavas, Machine Learning in Disaster Management: Recent Developments in Methods and Applications, Machine Learning & Knowledge Extraction, 2022, vol. 4, no. 2, pp. 446-473, (doi: https://doi.org/10.3390/make4020020).

JRN30. I. D. Chasiotis, Y. L. Karnavas, F. Scuiller, Effect of Rotor Bars Shape on the Single-Phase Induction Motors Performance: An Analysis Toward their Efficiency Improvement, Energies, in Special Issue: Advances and Trends in Electrical Machine Design, Operation and Control, 2022, 15(7), 717, (doi: 10.3390/en15030717).

JRN29. M. Drakaki, Y. L. Karnavas, I. A. Tziafettas, V. Linardos, P. Tzionas, Machine Learning And Deep Learning Based Methods Toward Industry 4.0 Predictive Maintenance In Induction Motors: Α State Of The Art Survey, Journal of Industrial Engineering and Management,  in Special issue: Smart manufacturing for sustainability: Trends and research challenges, 2022, vol. 15, no. 1, pp. 31-57. (doi: 10.3926/jiem.3597).

JRN28. G. Karatzinis, Y. S. Boutalis, Y. L. Karnavas, An Accurate Multiple Cognitive Classifier System for Incipient Short-Circuit Fault Detection in Induction Generators, Electrical Engineering, 2021, (doi:10.1007/s00202-021-01445-9).

JRN27. C. Guerroudj, J.-F. Charpentier, R. Saou, Y. L. Karnavas, N. Bracikowski, M.E.H. Zaïm, Coil Number Impact on Performance of 4-phase Low Speed Toothed Doubly Salient Permanent Magnet Motors, Machines, in Special Issue: Synchronous Reluctance Motor-Drive Advancements, 2021, 9(7), 137, (doi: 10.3390/machines9070137). 

JRN26. C. Guerroudj, Y. L. Karnavas, J.-F. Charpentier, I. D. Chasiotis, L. Bekhouche, R. Saou, M.E.H. Zaïm, Design Optimization of Outer Rotor toothed Doubly Salient Permanent Magnet Generator Design using Symbiotic Organisms Search Algorithm, Energies, in Special Issue: Electrical Machine Design for Emerging Technologies, 2021, 14(8), 2055. (doi: 10.3390/en14082055).

JRN25. Y. L. Karnavas, S. Plakias, I. D. Chasiotis, Extracting Spatially Global and Local Attentive Features for Rolling Bearing Fault Diagnosis in Electrical Machines using Attention Stream Networks, IET Electric Power Applications, in Special Issue: Advances in Fault Diagnostics and Post-Fault Operation of Electrical Drives, 2021, vol. 15, no. 7, pp. 903-915. (doi: 10.1049/elp2.12063).

JRN24. C. T. Alexakos, Y. L. Karnavas, M. Drakaki, I. A. Tziafettas, A Combined Short Time Fourier Transform and Image Classification Transformer Model for Rolling Element Bearings Fault Diagnosis in Electric Motors, Machine Learning & Knowledge Extraction, 2021, vol. 3, no. 1, pp. 228-242. (doi: 10.3390/make3010011).

JRN23. M. Drakaki, Y. L. Karnavas, P. Tzionas, I. D. Chasiotis, Recent Developments towards Industry 4.0 Oriented Predictive Maintenance in Induction Motors, Procedia Computer Science, 2021, vol. 180, pp. 943-949. (doi: 10.1016/j.procs.2021.01.345).

JRN22. Y. L. Karnavas, Application of Recent Nature-Inspired Meta-Heuristic Optimization Techniques to Small Permanent Magnet DC Motor Parameters Identification Problem, IET - Journal of Engineering, 2020, vol. 2020, no. 10, pp. 877-888. (doi: 10.1049/joe.2019.1045).

JRN21. I. D. Chasiotis, Y. L. Karnavas, A Novel Design Methodology for the Compliance of Single Phase Induction Motors with Recent Industrial Premium Efficiency Standards, Engineering Reports, 2020, vol. 2, no. 11, e12265, (doi: 10.1002/eng2.12265).

JRN20. I. D. Chasiotis, Y. L. Karnavas, Investigation on single phase induction motor efficiency and starting capability enhancement by incorporating magnesium alloys rotors, International Journal for Scientific Research: Machines, Technologies, Materials, 2020, vol. 14, no. 1, pp. 16-19.

JRN19.  M. Drakaki, Y. L. Karnavas, A. D. Karlis, I. D. Chasiotis, P. Tzionas, Study on Fault Diagnosis of Broken Rotor Bars in Squirrel Cage Induction Motors: A Multi-Agent System Approach using Intelligent Classifiers, IET Electric Power Applications, 2020, vol. 4, no. 2, pp. 245-255. (doi: 10.1049/iet-epa.2019.0619).

JRN18. Y. L. Karnavas, A. S. Topalides, M. Drakaki, Development and Implementation of a Low Cost μC Based Brushless DC Motor Sensorless Controller: A Practical Analysis of Hardware and Software Aspects, Electronics, (Feature Paper), 2019, vol. 8, no. 12, article no. 1456. (doi: 10.3390/electronics8121456).

JRN17. M. C. Pechlivanidou, I. D. Chasiotis, Y. L. Karnavas, A Comparative Study on 2D and 3D Magnetic Field Analysis of Permanent Magnet Synchronous Motor using FEM Simulations, Journal of Electromagnetic Waves and Applications, 2019, vol. 33, no. 17, pp. 2215-2241. (doi: 10.1080/09205071.2019.1674190).

JRN16. I. D. Chasiotis, Y. L. Karnavas, A Generic Multi-Criteria Design Approach towards High Power Density and Fault Tolerant Low Speed PMSM for pod Applications, IEEE Transactions on Transportation Electrification, in Special Issue: Electric Machine Design and Numerical Optimization, 2019, vol. 5, no. 2, pp. 356-370. (doi: 10.1109/TTE.2019.2894995).

JRN15. Y. L. Karnavas, E. I. Lygouras, Synchronous Machine Analysis and Modelling in LabVIEW: An Educational Tool for Transient Stability Studies, International Journal of Electrical Engineering Education, Aug. 2018. (doi: 10.1177/0020720918791422).

JRN14. I. D. Chasiotis, Y. L. Karnavas, A Computer Aided Educational Tool for Design, Modeling and Performance Analysis of Brushless DC Motor in Post-graduate Degree Courses, Computer Applications in Engineering Education, in Special Issue: Modeling and Simulation Practices in Engineering Education, July 2018, vol. 26, pp. 749-767. (doi:10.1002/cae.21897).

JRN13. A. Giannakis, A. Karlis, Y. L. Karnavas, A Combined Control Strategy of a DFIG based on a Sensorless Power Control through Modified Phase-Locked Loop and Fuzzy Logic Controllers, Renewable Energy, vol. 121, 2018, pp. 489–501. (doi: 10.1016/j.renene.2018.01.052).

JRN12. Y. L. Karnavas, I. D. Chasiotis, Design and Manufacturing of a Single-Phase Induction Motor: A Decision Aid Tool Approach, International Transactions on Electrical Energy Systems, 2017. (doi: 10.1002/etep.2357).

JRN11. Y. L. Karnavas, I. D. Chasiotis, C. D. Korkas, S. K. Amoutzidis, Modelling and Multi-Objective Optimization Analysis of a Permanent Magnet Synchronous Motor Design, International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 2017. (doi: 10.1002/jnm.2232).

JRN10. Y. L. Karnavas, I. D. Chasiotis, Influence of Soft Magnetic Materials Application to Squirrel Cage Induction Motor Design and Performance, Engineering Journal, vol. 21, no. 1, 2017, pp. 193-206. (doi: 10.4186/ej.2017.21.1.193).

JRN09. Y. L. Karnavas, I. D. Chasiotis, E.L. Peponakis, Permanent Magnet Synchronous Motor Design using Grey Wolf Optimizer Algorithm, International Journal of Electrical & Computer Engineering, vol. 6, no. 3, 2016, pp. 1353-1362. (doi: 10.11591/ijece.v6i3.pp1353-1362).

JRN08. Y. L. Karnavas, Ch. L. Liagkos, Development of a Practical Low-Cost μC based Brushless DC Motor Controller using Proteus, International Journal of Electronics and Computer Science Engineering, vol.1, no.3, 2012, pp.1-10.

JRN07. Y. L. Karnavas, K. S. Dedousis, Overall Performance Evaluation of Evolutionary Designed Conventional AGC Controllers for Interconnected Electric Power System Studies in a Deregulated Market Environment, International Journal of Engineering Science and Technology, in Special issue: Application of Computational Intelligence in Emerging Power Systems, vol. 2, no. 3, 2010, pp. 150-166.

JRN06. Y. L. Karnavas, The Autonomous Electrical Power System of Crete Island – A Review, International Review of Electrical Engineering, vol. 1, no. 4, Sep.-Oct. 2006, pp. 567-574.

JRN05. Y. L. Karnavas, On the Optimal Control of Interconnected Electric Power Systems in a Re-Structured Environment Using Genetic Algorithms, WSEAS Transactions on Systems, vol. 4, no. 8, Aug. 2005, pp. 1248-1258.

JRN04. Y. L. Karnavas, D. P. Papadopoulos, Excitation Control of a Synchronous Machine using Polynomial Neural Networks, Journal of  Electrical Engineering, vol. 55, no. 7-8, 2004, pp. 169-179.

JRN03. Y. L. Karnavas, D. P. Papadopoulos, AGC for Autonomous Power Station using combined Intelligent Techniques, Electric Power Systems Research, vol. 62, July 2002, pp. 225-239. (doi: 10.1016/s0378-7796(02)00082-2).

JRN02. Y. L. Karnavas, D. P. Papadopoulos, Excitation Control of a Power Generating System based on Fuzzy Logic and Neural Networks, European Transactions on Electrical Power, vol. 10, no 4, July-August 2000, pp. 233-241. (doi: 10.1002/etep.4450100406).

JRN01. Y. L. Karnavas, D. P. Papadopoulos, Maintenance Oriented Algorithm for Economic Operation of an Autonomous Diesel-Electric Station, Electric Power Systems Research, vol. 51, no. 2, Aug. 1999, pp. 109-122. (doi: 10.1016/S0378-7796(98)00138-2).