International Journal of Aeronautical and Space Sciences

  • 제10권2호
  • /
  • Pages.34-42
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  • 2009
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  • 2093-274X(pISSN)
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  • 2093-2480(eISSN)
한국항공우주학회 (The Korean Society for Aeronautical and Space Sciences)
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Development of On-line Performance Diagnostic Program of a Helicopter Turboshaft Engine

  • Kong, Chang-Duk (Department of Aerospace Engineering, Chosun University) ;
  • Koo, Young-Ju (Department of Aerospace Engineering, Chosun University) ;
  • Kho, Seong-Hee (Department of Aerospace Engineering, Chosun University) ;
  • Ryu, Hye-Ok (Korea Aerospace Research Institute)
  • 발행 : 2009.11.30
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초록

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.

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참고문헌

  1. Urban, L.A., "Gas Path Analysis Applied to Turbine Engine Condition Monitoring", J. of Aircraft, Vol.10, No. 7, 1972, pp. 400-406.
  2. Jayoung Ki, Changduk Kong, Seonghee Kho, Jaehwan Kim, Ieeki Ahn, Daesung Lee, "Development of On-line Performance Diagnostics Program of a Helicopter Propulsion System", ASME TURBO EXPO 2009, 2009-GT-59519.
  3. Diakunchak, I. S., "Performance Deterioration in Industrial Gas Turbines", Journal of Engineering for Gas Turbines and Power, Vol. 114, 1992, pp. 161-167. https://doi.org/10.1115/1.2906565
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  5. Changduk Kong, Seonghee Kho, Jayoung Ki, Changho Lee, "A Studys Multi Fault Diagnostics of Smart Unmanned Aerial Vehicle Propulsion System Using Data Sorting and Neural Networks", ASME TURBO EXPO 2008, 2008-GT-50769.
  6. Tsoukalas, L.H. and Uhrig, R.E., 1997, "Fuzzy and Neural Approaches in Engineering", John Wiley & Sons, Inc.
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피인용 문헌

  1. Study on Fault Diagnostics of a Turboprop Engine Using Inverse Performance Model and Artificial Intelligent Methods vol.28, pp.4, 2011, https://doi.org/10.1515/tjj.2011.060