Parameter evaluation of the equation of the electrostatic discharge current using genetic algorithms as optimization tool

Fotis, GP; Asimakopoulou, FE; Gonos, IF; Stathopulos, IA

dc.contributor.author	Fotis, GP	en
dc.contributor.author	Asimakopoulou, FE	en
dc.contributor.author	Gonos, IF	en
dc.contributor.author	Stathopulos, IA	en
dc.date.accessioned	2014-03-01T02:44:08Z
dc.date.available	2014-03-01T02:44:08Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31704
dc.subject	Electrostatic Discharge	en
dc.subject	Genetic Algorithm	en
dc.subject.other	Computer simulation	en
dc.subject.other	Electric discharges	en
dc.subject.other	Electrostatic generators	en
dc.subject.other	Genetic algorithms	en
dc.subject.other	Optimization	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Electrostatic discharge currents	en
dc.subject.other	Electrostatic discharge generators	en
dc.subject.other	Waveform	en
dc.subject.other	Electric currents	en
dc.title	Parameter evaluation of the equation of the electrostatic discharge current using genetic algorithms as optimization tool	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/CEFC-06.2006.1633263	en
heal.identifier.secondary	http://dx.doi.org/10.1109/CEFC-06.2006.1633263	en
heal.identifier.secondary	1633263	en
heal.publicationDate	2006	en
heal.abstract	The scope of this paper is the parameter evaluation of equations that possibly can describe the current during an Electrostatic Discharge, using genetic algorithms. It is necessary to find an equation for the electrostatic discharge current, because there are aberrations among simulations and the waveform described in the IEC 61000-4-2 Standard. In this work the genetic algorithm has been applied on the parameters of four equations. The genetic algorithm has as input data real measurements of the discharge current produced by an electrostatic discharge generator and, using these data, optimizes the parameters of the mathematical equations. The comparison between the experimental and the optimized data proves the efficiency of the genetic algorithm and the most suitable equation among the four for the discharge current derives. © 2006 IEEE.	en
heal.journalName	12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006	en
dc.identifier.doi	10.1109/CEFC-06.2006.1633263	en