Journal of the Korean Society for Aeronautical & Space Sciences (한국항공우주학회지)

The Korean Society for Aeronautical and Space Sciences (한국항공우주학회)
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A Realization of Real Time Algorithm for Fault and Health Diagnosis of Turbofan Engine Components

터보팬엔진의 실시간 구성품 결함 및 건전성 진단 알고리즘 구현

  • Received : 2022.05.30
  • Accepted : 2022.08.25
  • Published : 2022.10.01
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Abstract

An algorithm is realized for estimating the component fault and health diagnosis such as a deterioration. Based on the turbofan engine health diagnosis model, from the health parameters which are estimated by a real time tracking filter, the outliers are eliminated efficiently by an effective median filter to minimize an false alarm. The difference between the fault and deterioration trends is identified by the detection measure for abrupt change, thereby the clear diagnosis classifying the fault and the health condition is possible. The effectiveness of the algorithm for fault and health diagnosis is verified from the simulated results of engine component faults and deterioration.

엔진 구성품의 결함 및 열화 등의 건전성 진단을 위한 알고리즘을 구현하였다. 이를 위해서 터보팬엔진 모델로부터 성능 진단모델을 도출하고 진단변수 추적필터를 이용하여 실시간 결함 및 건전성을 추정한 후 효과적인 중간값 필터를 통해 이상 잡음을 제거함으로써 오경보 발생을 최소화하였다. 여기에 단차 결함 탐지 기법을 적용하여 결함과 열화를 식별하였고, 운전 중 구성품의 결함 및 건전성을 분명히 구분하여 진단할 수 있도록 하였다. 엔진 구성품의 결함 및 열화 발생의 모사를 통해서 구현된 알고리즘의 효용성을 확인하였다.

Keywords

Acknowledgement

본 연구는 방위사업청, 국방과학연구소의 "터보팬 엔진의 건전성 관리를 위한 탑재형 소프트웨어 개발" 과제의 일환으로 수행되었습니다.

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