New Method of Diagnosis and New Knowledge Acquirement for Fault Diagnosis Expert System of High Voltage Circuit Breaker

被引：1
|
作者：
Yang, Yongmei [1 ]
Sun, Naiquan [2 ]
Xu, Hongke [1 ]
机构：
[1] Changan Univ, Sch Elect & Control Engn, Xian 710064, Peoples R China
[2] Changan Univ, Coll Geology Engn & Geomat, Xian 710064, Peoples R China
来源：
INTELLIGENT SYSTEM AND APPLIED MATERIAL, PTS 1 AND 2 | 2012年 / 466-467卷
关键词：
High voltage circuit breaker; Expert system; Neural network; Fault diagnosis;
D O I：
10.4028/www.scientific.net/AMR.466-467.1413
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, an improved algorithm of general radial basis (RBF) function neural network is introduced, based on improved algorithm, the neural network realized quickly fault diagnosis and self-update of neural network structure, and the neural network is applied to the on-line fault diagnosis expert system. The expert system deals with the fault data that send from on-line monitoring equipment by using neural network, and it can discover the fault type and give reasonable solution by forward reasoning. Meanwhile, the expert system has the ability of achieving new knowledge based on the application of self-update ability of RBF neural network.
引用
收藏
页码：1413 / +
页数：2
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