DocumentCode :
696358
Title :
Model-based fault diagnosis approaches with application to an industrial gas turbine simulator
Author :
Simani, Silvio ; Patton, Ron J.
Author_Institution :
Dept. of Eng., Univ. of Ferrara, Ferrara, Italy
fYear :
2009
fDate :
23-26 Aug. 2009
Firstpage :
3689
Lastpage :
3694
Abstract :
In this work, different model-based procedures exploiting the analytical redundancy principle for the detection and isolation of the input-output sensor faults on a gas turbine simulated process are presented and compared. The contribution of the paper consists of exploiting several identification schemes in connection with linear and nonlinear residual generator design procedures for diagnostic purposes. Thus, it will be shown that black-box modelling and output estimation approaches to fault diagnosis are in particular advantageous in terms of solution complexity and performance achieved. The effectiveness and the capabilities of the proposed fault diagnosis strategies are analysed by means of extensive simulation of the industrial gas turbine model, in the presence of measurement and modelling errors.
Keywords :
fault diagnosis; gas turbines; analytical redundancy principle; black-box modelling; gas turbine simulated process; industrial gas turbine model; industrial gas turbine simulator; input-output sensor fault detection; input-output sensor fault isolation; model-based fault diagnosis approaches; output estimation approaches; residual generator design procedures; solution complexity; Analytical models; Computational modeling; Data models; Fault diagnosis; Mathematical model; Temperature measurement; Turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2009 European
Conference_Location :
Budapest
Print_ISBN :
978-3-9524173-9-3
Type :
conf
Filename :
7074973
Link To Document :
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