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- W2317771818 abstract "The engine performance condition monitoring systems using various methods such as traditional methods including FSA, MCD, SOAP, etc., model based methods including GPAs, Observers, Party Equations and Parameter Estimations and soft computing methods including Neural Networks, Fuzzy Logic and Expert Systems have been developed to monitor the engine condition. This work proposes a practical condition monitoring system of a small turbojet engine to check not only the engine performance condition through comparing between the on-line performance measuring data and the clean performance data calculated by the base engine performance program but also the gas path component condition through comparing the component performance characteristics between the running degraded engine component and the clean engine component. Here the base performance simulation model is built using the inversely generated component maps from the measured performance data using the modified scaling method. The performance analysis results are compared with the experimental test data at the same operating condition. The proposed condition monitoring system is coded in a friendly GUI type program for easy practical application using commercial programs of MATLAB/SIMULINK and LabVIEW." @default.
- W2317771818 created "2016-06-24" @default.
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- W2317771818 date "2014-01-01" @default.
- W2317771818 modified "2023-09-23" @default.
- W2317771818 title "Development of Practical Integral Condition Monitoring System for a Small Turbojet Engine Using MATLAB/SIMULINK and LabVIEW" @default.
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- W2317771818 doi "https://doi.org/10.1515/tjj-2013-0030" @default.
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