This paper presents a model-based procedure for the detection and isolation of faults in an industrial gas turbine system. The diagnosis system is based on output observers designed in both deterministic and stochastic environments. A model of the process under investigation is obtained by identification procedures. Residual analysis and statistical tests are used for fault detection and isolation, respectively. The proposed designs have been evaluated using non-linear simulation, based on gas turbine data.
Fault diagnosis of a simulated model of an industrial gas turbine prototype using identification techniques
SIMANI, Silvio;
2000
Abstract
This paper presents a model-based procedure for the detection and isolation of faults in an industrial gas turbine system. The diagnosis system is based on output observers designed in both deterministic and stochastic environments. A model of the process under investigation is obtained by identification procedures. Residual analysis and statistical tests are used for fault detection and isolation, respectively. The proposed designs have been evaluated using non-linear simulation, based on gas turbine data.File in questo prodotto:
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