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A Study on Fuzzy Trend Monitoring Method for Fault Detection of Gas Turbine Engine  

Kong, Chang-Duk (조선대학교 항공우주공학과)
Kho, Seong-Hee (조선대학교 항공우주공학과)
Ki, Ja-Young ((주)이지가스터빈)
Oh, Sung-Hwan (국방과학연구소 7기술본부 2부)
Kim, Ji-Hyun (국방과학연구소 7기술본부 2부)
Ko, Han-Young (국방과학연구소 7기술본부 2부)
Publication Information
Journal of the Korean Society of Propulsion Engineers / v.12, no.6, 2008 , pp. 1-6 More about this Journal
Abstract
This work proposes a fuzzy trend monitoring method for the fault detection of a gas turbine engine through analyzing measured performance data trend. The proposed trend monitoring technique can diagnose the engine status by monitoring major engine measured parameters such as fuel flow rate, exhaust gas temperature, rotor rotational speed and vibration, and then analyzing their time deppendent changes. In order to perform this, firstly the measured engine performance data variation is formulated using Linear Regression, and then faults are isolated and identified using fuzzy logic.
Keywords
Model Based; Trend Monitoring; Linear Regression Analysis; Fuzzy Logic;
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  • Reference
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