Dynamic Modelling for Condition Monitoring of Gas Turbines
| Authors: | Breikin Tim, University of Manchester, United Kingdom
Kulikov Gennady, Ufa State Aviation Technical University, Russian Federation
Arkov Valentin, Ufa State Aviation Technical University, Russian Federation
Fleming Peter, University of Sheffield, United Kingdom |
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| Topic: | 1.1 Modelling, Identification & Signal Processing |
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| Session: | Monitoring and Change Detection |
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| Keywords: | Aero engines, genetic algorithms, condition monitoring |
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Abstract
The problem of model-based condition monitoring of aero gas turbine engines is considered. Genetic algorithms are applied for the dynamic modelling of aero engines by estimating parameters of the linear reduced-order model. The use of genetic algorithms affords flexibility in the choice of performance metrics. Real engine data is used to investigate the performance genetic algorithms and this approach is compared with traditional modelling techniques used in industry
