항공기용 왕복엔진의 신호기반 고장검출 알고리즘에 관한 연구
- Title
- 항공기용 왕복엔진의 신호기반 고장검출 알고리즘에 관한 연구
- Other Titles
- A study on the signal based fault detection algorithm for a reciprocating engine of an aircraft
- Author
- 조범래
- Alternative Author(s)
- Cho, Bum rae
- Advisor(s)
- 이형철
- Issue Date
- 2011-02
- Publisher
- 한양대학교
- Degree
- Master
- Abstract
- 최근 항공기의 안전 분야에 대한 연구가 집중 조명되고 있다. 이러한 항공 안전 분야는 제트 엔진을 사용하는 대형 항공기가 주를 이루고 있다. 본 논문은 기존의 연구에서 다루지 않은 소형 항공기의 신호기반 고장검출 알고리즘을 제시 하고자 한다.
소형 항공기의 고장검출을 위해, 사고사례를 분석하여 고장현상을 선정 하였다. 선정된 고장현상은 엔진의 실린더 불 연소와 프로펠러 불 평형 고장이다.
고장검출 알고리즘 개발 단계는 시뮬레이션을 통한 검증과 실험을 통한 과정으로 연구를 진행하였다. 시뮬레이션 단계에서는 엔진의 정상상태의 신호 생성을 위해 AMESim을 기반으로 모델링을 수행하였다. 고장검출 알고리즘은 Simulink를 이용하여 개발하였으며, AMESim과 Cosimulation을 통하여 일차적인 검증을 수행하였다.
이후, 실제 엔진을 대상으로 실험 환경을 구성하였다. 구성된 실험 환경을 바탕으로 항공기 임무 형상을 고려한 고장검출 알고리즘 검증을 수행 하였다.
|ABSTRACT
A study on the signal based fault detection algorithm for a reciprocating engine of an aircraft
Cho, Bumrae
Dept. of Electrical Engineering
The Graduate School
Hanyang University
This paper presents a study on the signal based fault detection algorithm for a reciprocating engine of an aircraft using a vibration signal data. The vibration signal data is acquired and processed to obtain a monitoring of the engine. The paper describes in detail the approach of the vibration signal data followed to built up normal and fault models, such as, propeller unbalance and cylinder misfire. This paper proposed fault detection algorithm is an adaptive threshold. An adaptive threshold effectively performs fault detection by generating threshold, which is applied aircraft mission profile, in the frequency domain after processing the fast fourier transform (FFT) of the vibration. The simulation model of the aircraft engine is developed by AMESim and MATLAB/Simulink. Validation of developed fault detection algorithm is presented by simulation and experiment.; ABSTRACT
A study on the signal based fault detection algorithm for a reciprocating engine of an aircraft
Cho, Bumrae
Dept. of Electrical Engineering
The Graduate School
Hanyang University
This paper presents a study on the signal based fault detection algorithm for a reciprocating engine of an aircraft using a vibration signal data. The vibration signal data is acquired and processed to obtain a monitoring of the engine. The paper describes in detail the approach of the vibration signal data followed to built up normal and fault models, such as, propeller unbalance and cylinder misfire. This paper proposed fault detection algorithm is an adaptive threshold. An adaptive threshold effectively performs fault detection by generating threshold, which is applied aircraft mission profile, in the frequency domain after processing the fast fourier transform (FFT) of the vibration. The simulation model of the aircraft engine is developed by AMESim and MATLAB/Simulink. Validation of developed fault detection algorithm is presented by simulation and experiment.
- URI
- https://repository.hanyang.ac.kr/handle/20.500.11754/139549http://hanyang.dcollection.net/common/orgView/200000417028
- Appears in Collections:
- GRADUATE SCHOOL[S](대학원) > ELECTRICAL ENGINEERING(전기공학과) > Theses (Master)
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