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A modified-distance-based minimum spanning tree method for analyzing hierarchical structure of power generation system
Fu DZ(付殿峥); Zhou TT(周婷婷); Zheng ZY(郑泽宇); Fu Y(傅洋); Tong YM(仝义明)
作者部门数字工厂研究室
会议名称12th World Congress on Intelligent Control and Automation, WCICA 2016
会议日期June 12-15, 2016
会议地点Guilin, China
会议录名称Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016
出版者IEEE
出版地Piscataway, NJ, USA
2016
页码422-425
收录类别EI ; CPCI(ISTP)
EI收录号20164302934981
WOS记录号WOS:000388373800097
产权排序1
ISBN号978-1-4673-8414-8
摘要In this paper, a modified-distance-based minimum spanning tree (MST) method is utilized in order to analyze the complexity and component interactions of the power generation system. The advanced method improved the traditional Mantegna-Sornette distance via considering the time lag effect and substituting the cross-correlation coefficient with its absolute value. The industrial big data investigated in this paper contain 19 groups of the two-month time series monitoring indices with the sampling time interval of one minute, which are originated from industrial sensors embedded within the power generation equipments in a power plant. The results shows the time lag effects are obvious between the generation load index and some other indices belonging to auxiliary equipments. Besides, from the generated MST using the modified distance, it can be seen that the apparent clustering feature exists in the spanning tree for the indices belonging to the same equipments. Moreover, such advanced MST can overcome the weakness associated with the conventional MST due to its capability of manifesting the connections between anticorrelated indices properly.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/19280
专题数字工厂研究室
通讯作者Zheng ZY(郑泽宇)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Guodian Technology and Environment Group Co Ltd., Beijing, China
推荐引用方式
GB/T 7714
Fu DZ,Zhou TT,Zheng ZY,et al. A modified-distance-based minimum spanning tree method for analyzing hierarchical structure of power generation system[C]. Piscataway, NJ, USA:IEEE,2016:422-425.
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