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题名:
an algorithm for uncertain data reconciliation in process industry
作者: Zaifei Liao ; Tian Yang ; Xinjie Lu ; Hongan Wang
会议文集: 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
会议名称: 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
会议日期: March 31,
出版日期: 2009
会议地点: Los Angeles, CA, United states
关键词: Computer science ; Industrial applications
出版地: United States
ISBN: 9780769535074
部门归属: (1) Intelligence Engineering Lab., Institute of Software, Chinese Academy of Sciences, Beijing, 100190, China
英文摘要: This paper proposes an uncertain data reconciliation algorithm for Process Industry. First of all, the dynamic Event Dependency Graph is defined to abstract the problem. Taking into account the scale of the industry, a granularity partition algorithm relied on event detection is presented. In the following for the purpose of data prediction to improve the precision of the predicted value of the measured data, an improved Least Squares Support Vector Machine (LSSVM) model based on relative error is proposed. On the basis of the above, we present our data reconciliation algorithm by constructing a constraint model to achieve the goal of on-line/off-line data reconciliation. The practical industrial applications proved the efficiency and performance of the algorithm. © 2008 IEEE.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8490
Appears in Collections:人机交互技术与智能信息处理实验室_会议论文

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Recommended Citation:
Zaifei Liao,Tian Yang,Xinjie Lu,et al. an algorithm for uncertain data reconciliation in process industry[C]. 见:2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009. Los Angeles, CA, United states. March 31,.
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