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

页码：2138 / 2143

页数：2

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