A Method for Detecting Incipient Faults in Satellites Based on Dynamic Linear Discriminant Analysis

doi:10.1155/2021/1303936

	A Method for Detecting Incipient Faults in Satellites Based on Dynamic Linear Discriminant Analysis
	Zhang, Ge 1,2; Yang, Qiong 1; Li, Guotong1,2,3 ; Leng, Jiaxing 1
	2021-10-14
发表期刊	COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (IF:3.120[JCR-2021],3.877[5-Year])
ISSN	1687-5265
EISSN	1687-5273
卷号	2021
DOI	10.1155/2021/1303936
摘要	Timely detection and treatment of possible incipient faults in satellites will effectively reduce the damage and harm they could cause. Although much work has been done concerning fault detection problems, the related questions about satellite incipient faults are little addressed. In this paper, a new satellite incipient fault detection method was proposed by combining the ideas of deviation in unsupervised fault detection methods and classification in supervised fault detection methods. First, the proposed method uses dynamic linear discriminant analysis (LDA) to find an optimal projection vector that separates the in-orbit data from the normal historical data as much as possible. Second, under the assumption that the parameters obey a multidimensional Gaussian distribution, it applies the normal historical data and the optimal projection vector to build a normal model. Finally, it employs the noncentral F-distribution to test whether a fault has occurred. The proposed method was validated using a numerical simulation case and a real satellite fault case. The results show that the method proposed in this paper is more effective at detecting incipient faults than traditional methods.
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收录类别	SCIE ; EI
语种	英语
WOS研究方向	Mathematical & Computational Biology ; Neurosciences & Neurology
WOS类目	Mathematical & Computational Biology ; Neurosciences
WOS记录号	WOS:000713189300002
出版者	HINDAWI LTD
原始文献类型	Article
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/128593
专题	信息科学与技术学院_特聘教授组_李国通组
通讯作者	Li, Guotong
作者单位	1.Innovat Acad Microsatellites CAS, Shanghai 201203, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China
通讯作者单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Zhang, Ge,Yang, Qiong,Li, Guotong,et al. A Method for Detecting Incipient Faults in Satellites Based on Dynamic Linear Discriminant Analysis[J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE,2021,2021.
APA	Zhang, Ge,Yang, Qiong,Li, Guotong,&Leng, Jiaxing.(2021).A Method for Detecting Incipient Faults in Satellites Based on Dynamic Linear Discriminant Analysis.COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE,2021.
MLA	Zhang, Ge,et al."A Method for Detecting Incipient Faults in Satellites Based on Dynamic Linear Discriminant Analysis".COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2021(2021).