Improving EGT sensing data anomaly detection of aircraft auxiliary power unit

IMR OpenIR

	Improving EGT sensing data anomaly detection of aircraft auxiliary power unit
其他题名	Improving EGT sensing data anomaly detection of aircraft auxiliary power unit
	Liansheng LIU 1; Yu PENG 1; Lulu WANG 2; Yu DONG 2; Datong LIU 1; Qing GUO 1
	2020
发表期刊	Chinese Journal of Aeronautics
ISSN	1000-9361
卷号	33 期号:2 页码:448-455
摘要	The reliability of the on-wing aircraft Auxiliary Power Unit (APU) decides the cost and the comfort of flight to a large degree. The most important function of APU is to help start main engines by providing compressed air. Especially on the condition of sudden shutdown in the air, APU can offer additional thrust for landing. Therefore, its condition monitoring has drawn much attention from the academic and industrial field. Among the on-wing sensing data which can reflect its condition, Exhaust Gas Temperature (EGT) is one of the most important parameters. To ensure the reliability of EGT, one kind of data-driven anomaly detection framework for EGT sensing data is proposed based on the Gaussian Process Regression and Kernel Principal Component Analysis. The situations of one-dimensional and two-dimensional input data for EGT anomaly detection are considered, respectively. The cross-validation experiments are carried out by utilizing the real condition data of APU, which are provided by China Southern Airlines Company Limited Shenyang Maintenance Base. The anomalous stuck condition of EGT sensing data is also detected. Experimental results show that the proposed EGT sensing data anomaly detection method can achieve better performance of false positive ratio, false negative ratio and accuracy. Keywords: Anomaly detection, Auxiliary power unit, Condition-based maintenance, Data-driven framework, Exhaust gas temperature
关键词	Motor vehicles. Aeronautics. Astronautics TL1-4050
收录类别	CSCD
语种	英语
资助项目	[National Natural Science Foundation of China] ; [China Postdoctoral Science Foundation]
CSCD记录号	CSCD:6670709
引用统计	被引频次：7[CSCD] [CSCD记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/142943
专题	中国科学院金属研究所
作者单位	1.School of Electronics and Information Engineering,Harbin Institute of Technology 2.中国科学院金属研究所 3.China Southern Airlines Engineering Technology Research Center
推荐引用方式 GB/T 7714	Liansheng LIU,Yu PENG,Lulu WANG,et al. Improving EGT sensing data anomaly detection of aircraft auxiliary power unit[J]. Chinese Journal of Aeronautics,2020,33(2):448-455.
APA	Liansheng LIU,Yu PENG,Lulu WANG,Yu DONG,Datong LIU,&Qing GUO.(2020).Improving EGT sensing data anomaly detection of aircraft auxiliary power unit.Chinese Journal of Aeronautics,33(2),448-455.
MLA	Liansheng LIU,et al."Improving EGT sensing data anomaly detection of aircraft auxiliary power unit".Chinese Journal of Aeronautics 33.2(2020):448-455.