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A Study on the Prediction of Engine Condition of Supersonic Aircraft through the Wear Debris Monitoring Technique

마모입자 분석기술을 이용한 초음속 항공기 엔진의 상태 예측에 관한 연구

  • 정병학 (군사과학대학원, 육군사관학교) ;
  • 정동윤 (군사과학대학원, 육군사관학교)
  • Published : 1997.06.01

Abstract

This paper describes an empirical equation which can be used to predict the engine condition of supersonic aircraft. The equation, which is derived from the trend analysis of JOAP data, represents the concentration of Fe particles in the engine oil. The result of the trend analysis shows that the concentration of Fe particles is a function of running time of engine oil. Meanwhile the slope of Fe concentration is a function of running time of engine. Threfore, the empirical equation was derived as $w=a(t_e).t_o+b$. However, the equation could not enough to diagnose the damaged part of engine quantitatively. To make up for the weak points of the equation, qualitative analysis was carried out. For that purpose wear debris were collected from the abnormal engine and analyzed by EDS to detect the damaged parts of engine.

Keywords

References

  1. Condition-based Maintenance and Machine Diagnostics Williams, Davies;Drake
  2. Wear v.44 Predictive maintenance by Ferrography D. Scott;V. C. Westcott
  3. Machine Condition Monitoring Through Oil Analysis Malte, X. Lukas;Daniel P. Anderson
  4. 공사논문집 v.28 항공기 엔진의 상태 점검을 위한 패로그래피의 이용 김해원;이기영;강석춘
  5. 대한기계학회지 v.27 no.6 마멸입자 분서에 의한 기계의 예방정비에 관하여 강석춘
  6. Technical Order 33-1-37
  7. Machine Health Monitoring 기술 개발(1차년도) 권오관;오박균;김창호;공호성;송응석
  8. 오일 분광 분석 공군군수사령부 항공기술연구소
  9. Report NAEC-92-163 Wear Particle Atlas Daniel P. Anderson