Non-analytical approaches to model-based fault detection and isolation

被引：1
|
作者：
Frank, PM [1 ]
机构：
[1] Univ Duisburg Essen, D-47057 Duisburg, Germany
来源：
INTELLIGENT SYSTEMS FOR INFORMATION PROCESSING: FROM REPRESENTATION TO APPLICATIONS | 2003年
关键词：
fault detection and isolation; modeling uncertainty; robustness; qualitative models;
D O I：
10.1016/B978-044451379-3/50034-0
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper deals with the treatment of modeling uncertainties in model-based fault detection and isolation (FDI) systems using different kinds of non-analytical models which allow accurate FDI under even imprecise observations and at reduced complexity.
引用
收藏
页码：407 / 418
页数：12
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