Dimitris A. Barkas

Mr. Dimitris A. Barkas


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 May 2020 in Electronics
Verified
Journal Article
Open access
PDF file
DBDimitris A. Barkas
Dimitris A. Barkas
Georgios Ch. ΙoannidisGeorgios Ch. Ιoannidis
Georgios Ch. Ιoannidis
Constantinos S. PsomopoulosConstantinos S. Psomopoulos
Constantinos S. Psomopoulos
SKStavros D. Kaminaris
Stavros D. Kaminaris
Georgios A. VokasGeorgios A. Vokas
Georgios A. Vokas
The current paper presents an inclusive survey about the AC to DC and DC to DC converters for brushed DC Motor Drives. An essential number of different AC to DC and DC to DC topologies and control techniques, applied on the brushed DC motor drives are presented. This extensive literature review exposes advantages, disadvantages and limitations besides giving the basic operating principles of various topologies and control techniques.

21 December 2022 in Energies
Verified
Journal Article
Open access
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DBDimitris A. Barkas
Dimitris A. Barkas
SKStavros D. Kaminaris
Stavros D. Kaminaris
Konstantinos George KalkanisKonstantinos George Kalkanis
Konstantinos George Kalkanis
Georgios Ch. ΙoannidisGeorgios Ch. Ιoannidis
Georgios Ch. Ιoannidis
Constantinos S. PsomopoulosConstantinos S. Psomopoulos
Constantinos S. Psomopoulos
Condition assessment for critical infrastructure is a key factor for the wellbeing of the modern human. Especially for the electricity network, specific components such as oil-immersed power transformers need to be monitored for their operating condition. Classic approaches for the condition assessment of oil-immersed power transformers have been proposed in the past, such as the dissolved gases analysis and their respective concentration measurements for insulating oils. However, these approaches cannot always correctly (and in many cases not at all) classify the problems in power transformers. In the last two decades, novel approaches are implemented so as to address this problem, including artificial intelligence with neural networks being one form of algorithm. This paper focuses on the implementation of an adaptive number of layers and neural networks, aiming to increase the accuracy of the operating condition of oil-immersed power transformers. This paper also compares the use of various activation functions and different transfer functions other than the neural network implemented. The comparison incorporates the accuracy and total structure size of the neural network.

1 January 2024 in AIMS Energy
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Journal Article
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DBDimitris A. Barkas
Dimitris A. Barkas
AMAnthoula Menti
Anthoula Menti
PPPavlos Pachos
Pavlos Pachos
Constantinos S. PsomopoulosConstantinos S. Psomopoulos
Constantinos S. Psomopoulos
Modern electricity networks are facing significant challenges in terms of power quality due to the increasing integration of power electronics. Even though low order harmonic control has largely been achieved, the emergence of supraharmonics is becoming a new cause for concern. This topic has gained interest in the past decade since power quality issues have become important due to the proliferation of highly sensitive electrical and electronic equipment. This special case of harmonics is mainly due to the power electronic converters utilized in industrial as well as residential applications, including electromobility, motor drive systems, and photovoltaic installations. While the adverse effects of supraharmonics have been pointed out in numerous studies and intensive research is underway on the crucial subject of supraharmonic measurements, the parameters affecting their levels have not received adequate attention. We attempted to shed more light on this important issue in the specific case of a small grid-connected PV system. In particular, the supraharmonic emission levels of the system were investigated through experimental measurements, and useful conclusions on the impact of specific environmental factors were derived.

4 March 2022 in Sensors
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Journal Article
Open access
PDF file
DBDimitris A. Barkas
Dimitris A. Barkas
Georgios Ch. ΙoannidisGeorgios Ch. Ιoannidis
Georgios Ch. Ιoannidis
SKStavros D. Kaminaris
Stavros D. Kaminaris
Constantinos S. PsomopoulosConstantinos S. Psomopoulos
Constantinos S. Psomopoulos
During the last few decades, the poor quality of produced electric power is a key factor that has affected the operation of critical electrical infrastructure such as high-voltage equipment. This type of equipment exhibits multiple different failures, which originate from the poor electric power quality. This phenomenon is basically due to the utilization of high-frequency switching devices that operate over modern electrical generation systems, such as PV inverters. The conduction of significant values of electric currents at high frequencies in the range of 2 to 150 kHz can be destructive for electrical and electronic equipment and should be measured. However, the measuring devices that have the ability of analyzing a signal in the frequency domain present the ability of analyzing up to 2.5 kHz–3 kHz, which are frequencies too low in comparison to the high switching frequencies that inverters, for example, work. Electric currents at 16 kHz were successfully measured on an 8 kWp roof PV generator. This paper presents a fast-developed modern measuring system, using a field programmable gate array, aiming to detect electric currents at high frequencies, with a capability for working up to 150 kHz. The system was tested in the laboratory, and the results are satisfactory.