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题名: Simplification of raw data set during the fault detection process
作者: Li JN(李金娜) ; Li Y(李元) ; Wu HY(吴会咏) ; Zhang QL(张庆灵)
作者部门: 工业控制网络与系统研究室
会议名称: 31st Chinese Control Conference, CCC 2012
会议日期: July 25, 2012 - July 27, 2012
会议地点: Hefei, China
会议主办者: Technical Committee on Control Theory, CAA; Systems Engineering Society of China; University of Science and Technology of China; Academy of Mathematics and Systems Science, CAS; China Society for Industrial and Applied Mathematics
会议录: Proceedings of the 31st Chinese Control Conference, CCC 2012
会议录出版者: IEEE Computer Society
会议录出版地: Washington, DC, USA
出版日期: 2012
页码: 5280-5284
收录类别: EI
ISSN号: 1934-1768
ISBN号: 9789881563811
关键词: Data reduction
摘要: A novel simplification of database technique is proposed to explicitly account for compromise of low cost and high detection performance used to fault identification in the practical industrial processes. Based on the principle of Mahalanobis distance, the samples with the similar characteristics are replaced by the mean of them, so that the number of raw data set is reduced easily. Moreover, the supper ball domains of mean and variance of samples are presented, which not only retain the statistical properties of raw data set but also avoid the reduction of data unlimitedly. Finally, numerical examples and simulations are given to illustrate the effectiveness of the proposed method. © 2012 Chinese Assoc of Automati.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/10407
Appears in Collections:工业控制网络与系统研究室_会议论文

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