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上海电力大学学报:2013,29(6):523-526
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变压器缺陷管理系统中不确定性数据的处理
(上海电力学院计算机科学与技术学院,上海 200090)
Top-k Query Processing on Uncertain Data for Transformer Fault Management System
(School of Computer Science and Technology, Shanghai University of Electric Power)
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投稿时间:2013-09-24    
中文摘要: 针对变压器缺陷管理中缺陷定级时专家定级数据的不确定性,利用不确定数据top-k查询的相关理论,建立了变压器缺陷定级不确定性数据模型——可能世界模型,并确定专家定级数据排序,排在首位的定级结果作为该缺陷的定级结果.然后根据定级结果安排消缺任务.
Abstract:Because of the expert fault diagnosis data uncertainty in transformer fault management system,the transformer fault diagnosis uncertain data model and possible world model are established by the use of top-k query theory on uncertain data.The experts fault diagnosis data are sorted and the first in the queue considered as the final fault diagnosis result.The eliminating fault task is arranged according to the result of the fault diagnosis result.
文章编号:20130603     中图分类号:    文献标志码:
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引用文本:
袁仲雄.变压器缺陷管理系统中不确定性数据的处理[J].上海电力大学学报,2013,29(6):523-526.
YUAN Zhongxiong.Top-k Query Processing on Uncertain Data for Transformer Fault Management System[J].Journal of Shanghai University of Electric Power,2013,29(6):523-526.