DocumentCode :
1763225
Title :
Circuit-Breaker Automated Failure Tracking Based on Coil Current Signature
Author :
Razi-Kazemi, A.A. ; Vakilian, Mehdi ; Niayesh, Kaveh ; Lehtonen, Matti
Author_Institution :
Electr. Eng. Dept., Sharif Univ. of Technol., Tehran, Iran
Volume :
29
Issue :
1
fYear :
2014
fDate :
Feb. 2014
Firstpage :
283
Lastpage :
290
Abstract :
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.
Keywords :
SF6 insulation; circuit breakers; condition monitoring; fault diagnosis; CB online condition monitoring; CB operation time; SF6 insulation medium; circuit-breaker automated failure tracking; close coil current signature; coil current waveform; noninvasive parameter; online condition assessment; power utilities; spring-drive mechanism; voltage 24 kV; voltage 72.5 kV; Circuit breakers; Coils; Feature extraction; Latches; Maintenance engineering; Resistance; Voltage control; Circuit breaker (CB); condition monitoring; fault diagnosis; maintenance;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2013.2276630
Filename :
6587111
Link To Document :
بازگشت