The Impact of Measurement Noise in GPA Diagnostic Analysis of a Gas Turbine Engine
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Efstratios L. Ntantis
und
Y.G. Li
Abstract
The performance diagnostic analysis of a gas turbine is accomplished by estimating a set of internal engine health parameters from available sensor measurements. No physical measuring instruments however can ever completely eliminate the presence of measurement uncertainties. Sensor measurements are often distorted by noise and bias leading to inaccurate estimation results. This paper explores the impact of measurement noise on Gas Turbine GPA analysis. The analysis is demonstrated with a test case where gas turbine performance simulation and diagnostics code TURBOMATCH is used to build a performance model of a model engine similar to Rolls-Royce Trent 500 turbofan engine, and carry out the diagnostic analysis with the presence of different levels of measurement noise. Conclusively, to improve the reliability of the diagnostic results, a statistical analysis of the data scattering caused by sensor uncertainties is made. The diagnostic tool used to deal with the statistical analysis of measurement noise impact is a model-based method utilizing a non-linear GPA.
©[2013] by Walter de Gruyter Berlin Boston
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Artikel in diesem Heft
- Masthead
- A Hybrid Approach for the Modelling of Axial Compressor Surge
- Experimental Study on Combined-cascade
- Experimental Investigation on Heating Kerosene Using Thrust Tube Waste Heat of Pulse Detonation Engine
- Study of Slanted Perforated Jets
- Corrugated Limiting Tab for Jet Mixing
- Experimental Investigation of a Reed Valve on the Performance of a Pulse Detonation Engine
- SFC Optimization for Aero Engine Based on Hybrid GA-SQP Method
- Effect of Casing Suction on Stage Matching and Flow Loss in a High Pressure Axial Compressor
- The Impact of Measurement Noise in GPA Diagnostic Analysis of a Gas Turbine Engine
