典型文献
Deep Analysis of Power Equipment Defects Based on Semantic Framework Text Mining Technology
文献摘要：
Defect factors and their relevant rules can be an-alyzed in depth by processing defect records which are often expressed in the form of text data.However,considering that defect text consists of both structured and unstructured data,it is necessary to excavate structured information from unstructured data.In this paper,a text mining method based on semantic framework technology is introduced to transform unstructured defect description into structured information such as compo-nents and defect attributes.Then,a deep analyzing model of a power equipment defect is established,which provides a scheme of defect mining based on historical defect texts.Case studies prove that the proposed deep analysis method has a guiding significance for equipment upgrading,selection and maintenance.
文献关键词：
中图分类号：
作者姓名：
Huifang Wang;Jing Cao;Dongyang Lin
作者机构：
Electrical Engineering Department,Zhejiang University,Hangzhou 310058,China;State Grid Jiangsu Electric Power Engineering Consulting Co.,Ltd.,Nanjing 210000,China
文献出处：
引用格式：
[1]Huifang Wang;Jing Cao;Dongyang Lin-.Deep Analysis of Power Equipment Defects Based on Semantic Framework Text Mining Technology)[J].中国电机工程学会电力与能源系统学报（英文版）,2022(04):1157-1164
A类：
B类：
Deep,Analysis,Power,Equipment,Defects,Based,Semantic,Framework,Text,Mining,Technology,factors,their,relevant,rules,be,alyzed,depth,by,processing,defect,records,which,are,often,expressed,data,However,considering,that,consists,both,unstructured,it,necessary,excavate,information,from,In,this,paper,mining,method,semantic,framework,technology,introduced,transform,description,into,such,compo,nents,attributes,Then,deep,analyzing,model,power,equipment,established,provides,scheme,historical,texts,Case,studies,prove,proposed,analysis,has,guiding,significance,upgrading,selection,maintenance
AB值：
0.65211
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