an algorithm for uncertain data reconciliation in process industry

	an algorithm for uncertain data reconciliation in process industry
	Zaifei Liao; Tian Yang; Xinjie Lu; Hongan Wang
	2009
会议名称	2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
会议录名称	2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
会议日期	March 31,
会议地点	Los Angeles, CA, United states
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
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.
关键词	Computer Science Industrial Applications
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/8490
专题	人机交互技术与智能信息处理实验室
推荐引用方式 GB/T 7714	Zaifei Liao,Tian Yang,Xinjie Lu,et al. an algorithm for uncertain data reconciliation in process industry[C]. United States,2009.