Fault detection and isolation based on the model-based approach: Application on chemical processes

被引：0
|
作者：
Olivier-Maget, Nelly [1 ]
Hetreux, Gilles [1 ]
Le Lann, Jean-Marc [1 ]
Le Lann, Marie-Veronique [2 ,3 ]
机构：
[1] INPT ENSIACET, Lab Genie Chim CNRS UMR 5503, 118 Route Narbonne, F-31077 Toulouse 04, France
[2] CNRS, LAAS, F-31077 Toulouse, France
[3] Univ Toulouse, INSA, LAAS, F-31077 Toulouse, France
来源：
18TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING | 2008年 / 25卷
关键词：
Fault Detection and Isolation; Extended Kalman Filter; Dynamic Hybrid Simulation; Object Differential Petri nets; Distance;
D O I：
暂无
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
In this paper, we present a method for the fault detection and isolation based on the residual generation. The main idea is to reconstruct the outputs of the system from the measurement using the extended Kalman filter. The estimations are compared to the values of the reference model and so, deviations are interpreted as possible faults. The reference model is simulated by the dynamic hybrid simulator, PrODHyS. The use of this method is illustrated through an application in the field of chemical process.
引用
收藏
页码：411 / 416
页数：6
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