Study on gui type health monitoring system of an aircraft gas turbine using fuzzy-neuro method

Abstract

Paper presented at the 7th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics, Turkey, 19-21 July, 2010.

Gas turbine performance diagnostic is a method for detecting, isolating and quantifying faults of gas turbine gas path components. On-line precise fault diagnosis can promote great reliability and availability of gas turbine in real time operation. This work proposes a GUl-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 for reducing computer calculating time and a signal generation module for simulating real time performance data are used. 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.