Fault Diagnosis of Gas Turbine Engines: A Symbolic Multiple Model Approach

被引：0
|
作者：
Abbasfard, Zahra [1 ]
Baniamerian, Amir [1 ]
Khorasani, Khashayar [1 ]
机构：
[1] Concordia Univ, Dept Elect & Comp Engn, Quebec City, PQ, Canada
来源：
2014 EUROPEAN CONTROL CONFERENCE (ECC) | 2014年
关键词：
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：
This work is mainly concerned with the fault detection and isolation (FDI) problem of nonlinear systems by using a symbolic-based linear multiple model approach. To accomplish this goal, first a novel symbolic computational method for the linearization of a nonlinear system is developed such that the obtained linear models are subjected to the symbolic fault variables. By obtaining different linear models (healthy and faulty), a modified linear multiple model approach is then developed for the FDI problem. In order to demonstrate and illustrate the capability of our proposed FDI method a single spool gas turbine application is considered where extensive simulation studies are conducted.
引用
收藏
页码：944 / 951
页数：8
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