Circuit-Breaker Automated Failure Tracking Based on Coil Current Signature

被引：71

作者：

Razi-Kazemi, Ali Asghar ^{[1
,2
]}

Vakilian, Mehdi ^{[1
,2
]}

Niayesh, Kaveh ^{[3
]}

Lehtonen, Matti ^{[4
]}

机构：

[1] Sharif Univ Technol, Dept Elect Engn, Tehran 11365, Iran

[2] Ctr Excellence Power Syst Management & Control, Tehran 11365, Iran

[3] Univ Tehran, Sch Elect & Comp Engn, Tehran 14395, Iran

[4] Aalto Univ, Dept Elect Engn, FI-00076 Helsinki, Finland

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2014年 / 29卷 / 01期

关键词：

Circuit breaker (CB); condition monitoring; fault diagnosis; maintenance; MAINTENANCE;

D O I：

10.1109/TPWRD.2013.2276630

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：

The online condition assessment of circuit breakers (CBs) has been increasingly requested by power utilities in recent years. Trip and close coil current (CC) signature is an effective and noninvasive parameter in CB online condition monitoring. This paper gives an insight into the impacts of the various failures on the coil current waveform, as well as on the CB operation time. The failures and their causes are categorized based on the outcome of these investigations. Finally, a new algorithm using trip/close CC is proposed to detect the mode and cause of CB incipient failures. In this study, the CC patterns are acquired by measurements carried out on (healthy and faulty) CBs of 72.5-kV and 24-kV rating voltages, having SF6 insulation medium, and are equipped with a spring-drive mechanism.

引用

页码：283 / 290

页数：8

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