A modified-distance-based minimum spanning tree method for analyzing hierarchical structure of power generation system
文献类型:会议论文
作者 | Fu DZ(付殿峥)![]() ![]() ![]() ![]() |
出版日期 | 2016 |
会议日期 | June 12-15, 2016 |
会议地点 | Guilin, China |
页码 | 422-425 |
英文摘要 | 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. |
产权排序 | 1 |
会议录 | Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016
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会议录出版者 | IEEE |
会议录出版地 | Piscataway, NJ, USA |
语种 | 英语 |
ISBN号 | 978-1-4673-8414-8 |
WOS记录号 | WOS:000388373800097 |
源URL | [http://ir.sia.cn/handle/173321/19280] ![]() |
专题 | 沈阳自动化研究所_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]. 见:. Guilin, China. June 12-15, 2016. |
入库方式: OAI收割
来源:沈阳自动化研究所
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