A Signal Based Fault Detection for the Engine Crankshaft Faults of the FAR23 Aircraft

摘要：

This paper presents a fault detection algorithm for the engine crankshaft faults of the FAR23 aircraft using a vibration signal data. The vibration signal data is acquired and processed to obtain a monitoring of the engine crankshaft. The paper describes in detail the approach of the vibration signal data followed to build up normal and fault models, such as, unbalance, shaft friction and mechanical looseness. This paper proposed fault detection algorithm is a plausible check. The plausible check effectively performs fault detection by generating threshold, which is applied aircraft mission profile, and analysis and algorithm design in the frequency domain after processing the fast fourier transform(FFT) of the vibration. The simulation model of the FAR23 aircraft engine is developed. Validity of developed fault detection algorithm is presented by the simulation and analysis results.

关键词： aircraft FAR 23 engine fault detection vibration fast fourier transform(FFT) plausible check

作者: Cho Bumrae Beak Yunseok Kim Jihwan Lee Hyeongcheol

作者单位: Department of Electrical Engineering, Hanyang University, Haengdang-dong Seongdong-gu Seoul 133-791, Department of Electrical and Biomedical Engineering, Hanyang University, 17 Haengdang-dong Seongdong

会议类型: 国际会议

会议名称: 2010 Asia-Pacific International Symposium on Aerospace Technology(2010 亚太航空航天技术研讨会 APISAT 2010)

会议地点: 西安

会议语种:英文

页码: 981-984

在线出版日期: 2010-09-01（万方平台首次上网日期，不代表论文的发表时间）