Identification of nonstationary parameters of electric arc furnace model using Monte Carlo approach

被引：10

作者：

Klimas, Maciej ^{[1
]}

Grabowski, Dariusz ^{[1
]}

机构：

[1] Silesian Tech Univ, Fac Elect Engn, Gliwice, Poland

来源：

2020 PROGRESS IN APPLIED ELECTRICAL ENGINEERING (PAEE) | 2020年

关键词：

electric arc furnace; EAF; Monte Carlo method; stochastic analysis; probability distribution; COMPENSATION;

D O I：

10.1109/paee50669.2020.9158732

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 describes Monte Carlo analysis of an electric arc furnace (EAF) model based on measurements. In this research long-time samples have been analyzed in terms of incidence of occurring of particular values of EAF model coefficients. Their occurrence has been investigated through finding best fitted ones, which was measured by different indicators. These distributions have been approximated by continuous probability density functions that later allowed to develop a probabilistic EAF model.

引用

页数：6

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