NEURAL NETWORKS FOR POWER-SYSTEMS ALARM HANDLING

被引:6
作者
BALL, N
KIERNAN, L
WARWICK, K
CAHILL, E
ESP, D
MACQUEEN, J
机构
[1] UNIV READING,DEPT CYBERNET,READING RG6 2AH,BERKS,ENGLAND
[2] NATL GRID RES & DEV CTR,LEATHERHEAD,ENGLAND
关键词
ALARM ANALYSIS; NEURAL NETWORKS; POWER SYSTEMS; COMPUTER CONTROL;
D O I
10.1016/0925-2312(92)90038-Q
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A multi-layered architecture of self-organizing neural networks is being developed as part of an intelligent alarm processor to analyse a stream of power grid fault messages and provide a suggested diagnosis of the fault location. Feedback concerning the accuracy of the diagnosis is provided by an object-oriented grid simulator which acts as an external supervisor to the learning system. The utilization of artificial neural networks within this environment should result in a powerful generic alarm processor which will not require extensive training by a human expert to produce accurate results.
引用
收藏
页码:5 / 8
页数:4
相关论文
共 4 条
[1]  
CARPENTER G, 1988, IEEE COMPUT, V21
[2]   NEOCOGNITRON - A HIERARCHICAL NEURAL NETWORK CAPABLE OF VISUAL-PATTERN RECOGNITION [J].
FUKUSHIMA, K .
NEURAL NETWORKS, 1988, 1 (02) :119-130
[3]  
HOLLAND JH, 1975, ADAPTATION NATURAL A
[4]  
Kohonen T., 1984, SELF ORG ASS MEMORY