Fault diagnosis based on case-based reasoning

被引：0

作者：

Li Jimin ^{[1
]}

Meng Xianguo ^{[1
]}

机构：

[1] Ordnance Engn Coll, Dept Opt & Electron Engn, Shijiazhuang 050003, Peoples R China

来源：

PROCEEDINGS OF THE FIRST INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOLS 1 - 3 | 2006年

关键词：

case-based reasoning (CBR); fault diagnosis; neural network;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

There have been some artificial intelligence applications developed for diagnosis of electronic circuits, but much remains to be done in this field, especially in the analog domain. The purpose of this paper is not to give a general solution, but contributes a new methodology. Our aim is to develop a methodology for analog circuit diagnosis based on case-based reasoning. Complex computation and modeling are not needed in this technique. Also linear and nonlinear circuits are diagnosed by this methodology.

引用

页码：954 / 957

页数：4

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