Zobrazeno 1 - 10
of 18
pro vyhledávání: '"V. T. Kontargyri"'
Publikováno v:
22nd International Symposium on High Voltage Engineering (ISH 2021).
Publikováno v:
2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE).
In this paper, an investigation on the quality of HTV silicone rubber medium voltage composite insulators was performed. More specifically, visual inspection, hydrophobicity classification (by an operator and by a convolutional neural network) and sh
Autor:
Stelios Zerefos, Antonios Kontadakis, Frangiskos V. Topalis, Lambros T. Doulos, Aris Tsangrassoulis, Evangelos Manolis, V. T. Kontargyri, Evangelos-Nikolaos D. Madias, Katerina Skalkou, Spyros Niavis, Panagiotis A. Kontaxis, Maro Sinou
Publikováno v:
Energies, Vol 13, Iss 4024, p 4024 (2020)
Energies; Volume 13; Issue 15; Pages: 4024
Energies; Volume 13; Issue 15; Pages: 4024
Daylight utilization significantly contributes to energy savings in office buildings. However, daylight integration requires careful design so as to include variations in daylight availability and maintain a balance between factors such as lighting q
Autor:
Thanos Tasakos, Christos-Christodoulos A. Kokalis, V. T. Kontargyri, Giorgos Siolas, Ioannis F. Gonos
Publikováno v:
Engineering Applications of Artificial Intelligence. 91:103613
This paper discusses the classification of composite insulators in hydrophobicity classes, according to the spray method of IEC Standard 62073, using convolutional neural networks. By applying the spray method, about 4500 photos were collected and ar
Publikováno v:
IEEE Transactions on Industry Applications. 51:4969-4977
In this paper, a complete step-by-step analysis for the designing of a wind farm grounding system is carried out. The soil structure is determined based on soil resistivity measurements. The use of the appropriate method and the rigorous application
Autor:
George J. Tsekouras, V. T. Kontargyri, Ioannis A. Stathopulos, Ioannis F. Gonos, F.E. Asimakopoulou
Publikováno v:
IEEE Transactions on Industry Applications. 51:5149-5158
The aim of this paper is to investigate the estimation of the variation of ground resistance throughout the year by using artificial neural networks (ANNs). An ANN was trained, validated, and tested with different training algorithms by using experim
Autor:
Ioannis F. Gonos, Anastasios Kyritsis, V. T. Kontargyri, C. A. Christodoulou, Nick Papanikolaou, Katerina D. Damianaki
Publikováno v:
2016 IEEE International Conference on High Voltage Engineering and Application (ICHVE).
Photovoltaic (PV) systems, due to their installation position, are exposed to direct and indirect lightning hits, which can damage the equipment of the system, resulting in interruption of the power supply, repair or/and replacement costs and dangers
Autor:
George J. Tsekouras, F.E. Asimakopoulou, G.E. Asimakopoulou, Ioannis A. Stathopulos, V. T. Kontargyri, Ch. N. Elias
Publikováno v:
Electric Power Systems Research. 81:580-588
The objective of this paper is to present a new methodology for predicting the critical flashover voltage of polluted insulators based on fuzzy logic. The prediction contains not only the estimated value, but also the respective confidence interval b
Publikováno v:
European Transactions on Electrical Power. 19:509-517
In this study, a method for the calculation of the electric field on high voltage insulators is presented. A model of the insulator string was set up using OPERA, an electromagnetic analysis program based on the Finite Element Method. In order to val
Autor:
F.E. Asimakopoulou, George J. Tsekouras, Ioannis A. Stathopulos, G.E. Asimakopoulou, Ioannis F. Gonos, V. T. Kontargyri
Publikováno v:
IET Science, Measurement & Technology. 3:90-104
To describe an artificial neural network (ANN) methodology in order to estimate the critical flashover voltage on polluted insulators is the objective here. The methodology uses as input variables characteristics of the insulator such as diameter, he