The development of prognostic tools for MV cable circuits

被引：0
|
作者：
Christou, S. [1 ]
Lewin, P. L. [1 ]
Pilgrim, J. A. [1 ]
Swingler, S. G. [1 ]
机构：
[1] Univ Southampton, Sch Elect & Comp Sci, Southampton, Hants, England
来源：
2014 ELECTRICAL INSULATION CONFERENCE (EIC) | 2014年
基金：
英国工程与自然科学研究理事会;
关键词：
Condition Monitoring; Support Vector Regression; Diagnostic; Insulation System;
D O I：
暂无
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：
Cable failures are disruptive, costly to repair and have a serious impact on customer confidence. Thus developing a reliable on-line prognostic tool is of a great interest. An experimental setup has been created to develop a new prognostic thermal model for MV underground cables. This paper introduces a thermal prognostic simulation model based on Support Vector Regression Algorithm which predicts the likely temperature along the cable thirty minutes into the future and is able to detect temperature anomalies which can indicate upcoming failures.
引用
收藏
页码：249 / 253
页数：5
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