Fault diagnosability utilizing quasi-static and structural modelling

被引：7
|
作者：
Nejjari, F.
Perez, R.
Escobet, T.
Trave-Massuyes, L.
机构：
[1] UPC, ESAII, Terrassa 08222, Spain
[2] Univ Toulouse, LAAS, CNRS, F-31077 Toulouse 4, France
来源：
MATHEMATICAL AND COMPUTER MODELLING | 2007年 / 45卷 / 5-6期
关键词：
diagnosability; quasi-static model; structural analysis; FDI;
D O I：
10.1016/j.mcm.2006.06.008
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents a diagnosis model-based method to analyse fault discriminability and assess diagnosability. The technique is based on the state space representation of quasi-static models. Fault diagnosability characterises the faults that can be discriminated using the available sensors in a system. The method can be used to select the minimum set of sensors that guarantee discriminability of an anticipated set of faults. The approach is applied on a two-tanks system benchmark and is compared to a diagnosability analysis method based on structural analysis. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码：606 / 616
页数：11
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