DETECTION OF HIGH IMPEDANCE ARCING FAULTS USING A MULTILAYER PERCEPTRON

被引:56
|
作者
SULTAN, AF [1 ]
SWIFT, GW [1 ]
FEDIRCHUK, DJ [1 ]
机构
[1] MANITOBA HYDRO,DEPT SYST OPERAT,WINNIPEG R3C 2P4,MANITOBA,CANADA
关键词
PROTECTION; FAULTS; HIGH IMPEDANCE; DOWN CONDUCTOR; NEURAL NETWORKS;
D O I
10.1109/61.156989
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
A feed-forward three-layer perceptron was trained by high impedance fault, fault-like load. and normal load current patterns, using the back-propagation training algorithm. The neural network parameters were embodied in a high impedance arcing faults detection algorithm, which uses a simple preprocessing technique to prepare the information input to the network. The algorithm was tested by traces of normal load current disturbed by currents of faults on dry and wet soil, an arc welder, computers, and fluorescent lights. The algorithm showed good performance in identifying faults disrupted by arc noise as well as good discrimination between faults and fault-like loads. The approach is promising not only in high impedance fault detection but also for abnormal event identification and classification. An alternative neural network topology may then be essential.
引用
收藏
页码:1871 / 1877
页数:7
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