Changduk Kong/Youngju Koo/Seonghee Kho/Hyeok Ryu
International Journal of Aeronautical and Space Sicences, vol. 10, no. 2, pp.34-42, 2009

Abstract : Gas turbine performance diagnostics is a method for detecting, isolating and quantifying faults in gas turbine gas path components. On-line precise fault diagnosis can promote greatly reliability and availability of gas turbine in real time operation. This work proposes a GUI-type on-line diagnostic program using SIMULINK and Fuzzy-Neuro algorithms for a helicopter turboshaft engine. During development of the diagnostic program, a look-up table type base performance module are used for reducing computer calculating time and a signal generation module for simulating real time performance data. This program is composed of the on-line condition monitoring program to monitor on-line measuring performance condition, the fuzzy inference system to isolate the faults from measuring data and the neural network to quantify the isolated faults. Evaluation of the proposed on-line diagnostic program is performed through application to the helicopter engine health monitoring.

Keyword : On-line Performance Diagnostic Program, On-line Condition Monitoring, Fuzzy Logic, Neural Network, Turboshaft Engine