A hybrid intelligent system for fault detection in power systems

被引：5
|
作者：
Mori, H [1 ]
Aoyama, H [1 ]
Yamanaka, T [1 ]
Urano, S [1 ]
机构：
[1] Meiji Univ, Dept Elect & Elect Engn, Tama Ku, Kawasaki, Kanagawa 2148571, Japan
来源：
PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 | 2002年
关键词：
D O I：
10.1109/IJCNN.2002.1007472
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a method for fault detection with a preconditioned artificial neural network. The proposed method makes use of FFT and deterministic annealing (DA) clustering as a precondition technique. The proposed method is tested in a sample system.
引用
收藏
页码：2138 / 2143
页数：2
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