Estimation of the electromagnetic field radiating by electrostatic discharges using artificial neural networks

Ekonomou, L; Fotis, GP; Maris, TI; Liatsis, P

dc.contributor.author	Ekonomou, L	en
dc.contributor.author	Fotis, GP	en
dc.contributor.author	Maris, TI	en
dc.contributor.author	Liatsis, P	en
dc.date.accessioned	2014-03-01T01:26:18Z
dc.date.available	2014-03-01T01:26:18Z
dc.date.issued	2007	en
dc.identifier.issn	1569-190X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17998
dc.subject	Artificial neural networks	en
dc.subject	Electromagnetic field	en
dc.subject	Electrostatic discharge (ESD)	en
dc.subject	IEC 61000-4-2	en
dc.subject	International standard	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.other	Backpropagation	en
dc.subject.other	Electromagnetic compatibility	en
dc.subject.other	Electromagnetic fields	en
dc.subject.other	Magnetic fields	en
dc.subject.other	Mathematical models	en
dc.subject.other	Neural networks	en
dc.subject.other	Discharge current	en
dc.subject.other	Electrostatic discharge immunity test	en
dc.subject.other	ESD generators	en
dc.subject.other	International Standard IEC 61000-4-2	en
dc.subject.other	Electrostatic discharge	en
dc.title	Estimation of the electromagnetic field radiating by electrostatic discharges using artificial neural networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.simpat.2007.07.003	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.simpat.2007.07.003	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	An artificial neural network (ANN) model and more specifically a feedforward multilayer network, which uses the powerful backpropagation learning rule, is addressed in order to estimate the electric and magnetic field radiating by electrostatic discharges (ESDs). Plenty of actual measurements, carried out in the High Voltage Laboratory of the National Technical University of Athens are used in training, validation and testing processes. The developed ANN can be a necessary tool for laboratories involved in ESD tests, either facing a lack of suitable measuring equipment or for laboratories which want to compare their own measurements. This is extremely useful for the laboratories involved in the ESD tests according to the current IEC Standard [International Standard IEC 61000-4-2: Electromagnetic Compatibility (EMC), Part 4: Testing and measurement techniques, Section 2: Electrostatic discharge immunity test, Basic EMC Publication, 1995.], since the forthcoming revised version of this Standard will almost certainly include measurements of the radiating electromagnetic field during the verification of the ESD generators. The authors believe that the proposed ANN will be extensively used, since the produced electromagnetic field radiating by electrostatic discharges, can be calculated very easily and accurately by simply measuring the discharge current. (C) 2007 Elsevier B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Simulation Modelling Practice and Theory	en
dc.identifier.doi	10.1016/j.simpat.2007.07.003	en
dc.identifier.isi	ISI:000250642300004	en
dc.identifier.volume	15	en
dc.identifier.issue	9	en
dc.identifier.spage	1089	en
dc.identifier.epage	1102	en