Electromagnetic field identification using artificial neural networks

Authors:
T. I. Maris;L. Ekonomou;G. P. Fotis;A. Nakulas;E. Zoulias
Affiliations:
Technological Educational Institute of Chalkida, Greece;Hellenic Public Power Corporation S.A., Athens, Greece;National Technical University of Athens, Athens, Greece;National & Kapodistrian University of Athens, Athens, Greece;National Technical University of Athens, Athens, Greece
Venue:
NN'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Neural Networks - Volume 8
Year:
2007

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Abstract

This work presents a novel method based on artificial neural networks (ANNs) for the prediction of the transient electromagnetic field radiating by generators of electrostatic discharges constructed according to an IEC standard. Actual input and output data collected from measurements carried out in the High Voltage Laboratory of the National Technical University of Athens are used in the training, validation and testing process. The proposed ANN method which can easy and accurate assesses the electromagnetic field produced by electrostatic discharges by simply measuring the discharge current can be used by laboratories facing either a lack of suitable ESD test equipment or want to compare the results to their own measurements.