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Estimation of the Electric Field across Medium Voltage Surge Arresters Using Artificial Neural Networks

  • Lambros Ekonomou
  • Christos A. Christodoulou
  • Valeri Mladenov
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 459)

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.

Keywords

Artificial neural networks electric field measurements surge arresters 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Lambros Ekonomou
    • 1
  • Christos A. Christodoulou
    • 2
  • Valeri Mladenov
    • 3
  1. 1.School of Engineering and Mathematical Sciences, Department of Electrical and Electronic EngineeringCity University LondonLondonUnited Kingdom
  2. 2.School of Electrical and Computer Engineering, High Voltage LaboratoryNational Technical University of AthensAthensGreece
  3. 3.Department of Theoretical Electrical EngineeringTechnical University of SofiaBulgaria

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