Short Text Mining Framework with Specific Design for Operation and Maintenance of Power Equipment

被引:10
作者
Wang, Huifang [1 ]
Liu, Ziquan [1 ]
Xu, Yongjin [2 ]
Wei, Xiaoxiong [2 ]
Wang, Lixin [2 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China
[2] Elect Power Res Inst State Grid Zhejiang Elect Po, Hangzhou 310014, Peoples R China
关键词
Machine learning; natural language processing; operation and maintenance; power equipment; short text mining;
D O I
10.17775/CSEEJPES.2019.01120
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In order to recover the value of short texts in the operation and maintenance of power equipment, a short text mining framework with specific design is proposed. First, the process of the short text mining framework is summarized, in which the functions of all the processing modules are introduced. Then, according to the characteristics of short texts in the operation and maintenance of power equipment, the specific design for each module is proposed, which adapts the short text mining framework to a practical application. Finally, based on the framework with the specific designed modules, two examples in terms of defect texts are given to illustrate the application of short text mining in the operation and maintenance of power equipment. The results of the examples show that the short text mining framework is suitable for operation and maintenance tasks for power equipment, and the specific design for each module is beneficial for the improvement of the application effect.
引用
收藏
页码:1267 / 1277
页数:11
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