New directions in electric arc furnace modeling

被引：2

作者：

Grabowski, Dariusz ^{[1
]}

Klimas, Maciej ^{[1
]}

机构：

[1] Silesian Tech Univ, Fac Elect Engn, Akademicka 10 str, PL-44100 Gliwice, Poland

来源：

ARCHIVES OF ELECTRICAL ENGINEERING | 2023年 / 72卷 / 01期

关键词：

artificial neural networks; chaos theory; electric arc furnace; fractional calculus; power balance; stochastic processes;

D O I：

10.24425/aee.2023.143695

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents new directions in the modeling of electric arc furnaces. This work is devoted to an overview of new approaches based on random differential equations, artificial neural networks, chaos theory, and fractional calculus. The foundation of proposed solutions consists of an instantaneous power balance equation related to the electric arc phenomenon. The emphasis is mostly placed on the conclusions that come from a novel interpretation of the equation coefficients.

引用

页码：157 / 172

页数：16

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