Evaluating the Flicker caused byElectric Arc Furnacethrough the Multi-scale Entropy MSE Algorithm SampEn

Type : Article de conférence
Auteur(s) :  Aouabdi Salim, BENDJAMA Hocine
Année :  2018
Domaine : Electrotechnique
Conférence: 6 th International Conference on Welding NDT and Materials Industry ICWNDTMI'18
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  Entropy, Arc voltage signals quality, Flicker effect, voltage imbalance

Résumé : 

This paper presents a new method to evaluate the Arc voltage quality in electric arc furnace (EAF). It has been shown that is possible to allow the representation of nonlinear dynamics and coupling effects between different waves for irregularity of electrical signals issued by electrical components though multi-scale entropy algorithm SampEn. This work shows the behavior of the feature extraction with SampEn when it’s used to evaluate the signals that deviate the arc voltage in (EAF). Flicker effect with voltage imbalances are analyzed by means of the SampEn concept.