Autors: Ekonomou, L., Christodoulou, C.A., Mladenov, V. M.
Title: Estimation of the Electric Field across Medium Voltage Surge Arresters Using Artificial Neural Networks
Keywords: Artificial neural networks, electric field, measurements, su

Abstract: Artificial neural networks (ANNs) are addressed in order to estimate the electric field across medium voltage surge arresters, information which is very useful for diagnostic tests and design procedures. Actual input and output data collected from hundreds of measurements carried out in the High Voltage Laboratory of the National Technical University of Athens (NTUA) are used in the training, validation and testing process. The developed ANN method can be used by laboratories and manufacturing/retail companies dealing with medium voltage surge arresters which either face a lack of suitable measuring equipment or want to compare/verify their own measurements.

References

    Issue

    15th International Conference on Engineering Applications of Neural Networks, EANN 2014; Sofia; Bulgaria;, vol. 459, pp. 227-236, 2014, Bulgaria, Springer Verlag, DOI 10.1007/978-3-319-11071-4_22

    Цитирания (Citation/s):
    1. Halim, S.A., Mohamed, A., Kamari, N.A.M., (...), Bakar, A.H.A., Illias, H.A. Optimisation of zinc oxide surge arrester design using gravitational search algorithm and imperialist competitive algorithm, Indonesian Journal of Electrical Engineering and Computer Science 13(3), pp. 853-860 - 2019 - в издания, индексирани в Scopus или Web of Science
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    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science