Development of On-line Performance Diagnostic Program of a Helicopter Turboshaft Engine

• Published in: International journal of aeronautical and space sciences Vol. 10; no. 2; pp. 34 - 42
• Main Authors: Kong, Chang-Duk, Koo, Young-Ju, Kho, Seong-Hee, Ryu, Hye-Ok
• Format: Journal Article
• Language: Korean
• Published: 2009
• Subjects: Neural Network; On-line Condition Monitoring; On-line Performance Diagnostic Program; Turboshaft Engine; Fuzzy Logic
• ISSN: 2093-274X; 2093-2480

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.