Online expert systems for fault diagnosis in technical processes

被引:47
作者
Angeli, Chrissanthi [1 ]
机构
[1] Technol Educ Inst Piraeus, Dept Math & Comp Sci, GR-17121 Athens, Greece
关键词
fault detection; fault diagnosis; artificial intelligence techniques; online expert systems;
D O I
10.1111/j.1468-0394.2008.00442.x
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
It is generally accepted that there has been an increasing interest in online fault detection and diagnosis techniques for technical processes during the last few years. These techniques come from the artificial intelligence field or are classical numerical methods in combination with artificial intelligence methods. This paper presents a survey of recent research work in online expert systems for fault detection and diagnosis in technical processes. In addition, a short reference to other recent artificial intelligence methods for online fault detection is included and the main advantages and limitations of each method are illustrated.
引用
收藏
页码:115 / 132
页数:18
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