MAXIMUM-LIKELIHOOD ESTIMATION OF HIGH-FREQUENCY MACHINE AND TRANSFORMER WINDING PARAMETERS

被引：15

作者：

KEYHANI, A ^{[1
]}

TSAI, H ^{[1
]}

ABUR, A ^{[1
]}

机构：

[1] TEXAS A&M UNIV SYST,DEPT ELECT ENGN,COLLEGE STN,TX 77843

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 1990年 / 5卷 / 01期

关键词：

High frequency; Machine and transformer winding; Maximum likelihood identification; Parameter Estimation;

D O I：

10.1109/61.107276

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 a method to establish a multi-section network model for study of high frequency transient behavior of transformer and machine windings. The parameters of the network model are estimated using maximum likelihood estimation technique. In order to verify the proposed estimation method, the parameters of a six-section network model are estimated. © 1989 IEEE

引用

页码：212 / 219

页数：8

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