Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Fault Diagnosis in Gas Turbine Engine Using Fuzzy Inference Logic

퍼지 로직 시스템을 이용한 항공기 가스터빈 엔진 오류 검출에 대한 연구

  • 모은종 (한국항공대학교 항공전자공학과) ;
  • 지민석 (한국과학기술연구원(KIST)) ;
  • 김진수 (한국항공대학교 항공전자공학과) ;
  • 이강웅 (한국항공대학교 항공전자공학과)
  • Published : 2008.01.01
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Abstract

A fuzzy inference logic system is proposed for gas turbine engine fault isolation. The gas path measurements used for fault isolation are exhaust gas temperature, low and high rotor speed, and fuel flow. The fuzzy inference logic uses rules developed from a model of performance influence coefficients to isolate engine faults while accounting for uncertainty in gas path measurements. Inputs to the fuzzy inference logic system are measurement deviations of gas path parameters which are transferred directly from the ECM(Engine Control Monitoring) program and outputs are engine module faults. The proposed fuzzy inference logic system is tested using simulated data developed from the ECM trend plot reports and the results show that the proposed fuzzy inference logic system isolates module faults with high accuracy rate in the environment of high level of uncertainty.

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References

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