Fault diagnosis through history reconstruction: An application to power transmission networks

被引:5
作者
Baroni, P
Canzi, U
Guida, G
机构
[1] Università di Brescia, Dipto. Elettron. per l'Automazione, I-25123 Brescia
关键词
D O I
10.1016/S0957-4174(96)00078-4
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 presents SHORT a knowledge-based system for fault diagnosis in power transmission networks. Differently from previous approaches to this very complex diagnostic problem, SHORT includes a knowledge representation formalism, named plot, capable of taking into account temporal aspects of component behavior, and solves the diagnostic problem as an instance of a more general class of temporal reasoning problems, called history reconstruction. Both plot formalism and the history reconstruction method are illustrated in the paper through an application example. SHORT has been tested on both simulated and real cases of faults in an Italian regional transmission network, showing very good diagnostic capabilities. Copyright (C) 1997 Elsevier Science Ltd
引用
收藏
页码:37 / 52
页数:16
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