中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Optimal sensor placement for momentum wheel fault diagnosis using Bayesian network

文献类型:会议论文

作者Li W(李伟); He X(何旭); Zhang W(张伟); Gao S(高升)
出版日期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
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.

入库方式: OAI收割

来源:沈阳自动化研究所

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