Online diagnosis using influence diagrams

被引：0

作者：

Sánchez, BM ^{[1
]}

Ibargüengoytia, PH ^{[1
]}

机构：

[1] Inst Invest Elect, Cuernavaca 62490, Morelos, Mexico

来源：

MICAI 2004: ADVANCES IN ARTIFICIAL INTELLIGENCE | 2004年 / 2972卷

关键词：

D O I：

暂无

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 the utilization of influence diagrams in the diagnosis of industrial processes. The diagnosis in this context signifies the early detection of abnormal behavior, and the selection of the best recommendation for the operator in order to correct the problem or minimize the effects. A software architecture is presented, based on the Elvira package, including the connection with industrial control systems. A simple experiment is presented together with the acquisition and representation of the knowledge.

引用

页码：546 / 554

页数：9

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