Optimal sensor placement for momentum wheel fault diagnosis using Bayesian network

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	Optimal sensor placement for momentum wheel fault diagnosis using Bayesian network
	Li W(李伟); He X(何旭); Zhang W(张伟); Gao S(高升)
	2017
会议名称	36th Chinese Control Conference, CCC 2017
会议日期	July 26-28, 2017
会议地点	Dalian, China
关键词	Fault diagnosis Bayesian network Optimal sensor placement Effective independence method Momentum wheel
页码	7099-7103
通讯作者	Gao S(高升)
中文摘要	This paper investigates the problem of optimal sensor placement for momentum wheel fault diagnosis. An optimal sensor placement algorithm for momentum wheel is proposed by utilizing Bayesian network and effective independence method. First, a fault diagnosis model that can effectively diagnose faults of the momentum wheel in the spacecraft attitude control system is established based on the Bayesian network. Then, an optimal sensor placement algorithm is proposed by using the mutual information theory and the effective independence method. Finally, to validate the effectiveness of the proposed algorithm, an application to the momentum wheel is carried out to perform the sensor optimization placement.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议主办者	Dalian University of Technology; Systems Engineering Society of China (SESC); Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)
会议录	Proceedings of the 36th Chinese Control Conference, CCC 2017
会议录出版者	IEEE Computer Society
会议录出版地	Piscataway, NJ, USA
语种	英语
ISSN号	1934-1768
ISBN号	978-1-5386-2918-5
WOS记录号	WOS:000432015501043
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/21061]
专题	沈阳自动化研究所_空间自动化技术研究室
作者单位	Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
推荐引用方式 GB/T 7714	Li W,He X,Zhang W,et al. Optimal sensor placement for momentum wheel fault diagnosis using Bayesian network[C]. 见:36th Chinese Control Conference, CCC 2017. Dalian, China. July 26-28, 2017.