Short Text Mining Framework with Specific Design for Operation and Maintenance of Power Equipment
作者机构：College of Electrical EngineeringZhejiang UniversityHangzhou 310027China Electric Power Research Institute of State Grid Zhejiang Electric Power Co.Ltd.Hangzhou 310014China
出 版 物：《CSEE Journal of Power and Energy Systems》 (中国电机工程学会电力与能源系统学报（英文）)
年 卷 期：2021年第7卷第6期
页 面：1267-1277页
核心收录：
学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学]
主 题：Machine learning natural language processing operation and maintenance power equipment short text mining
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 ***,the process of the short text mining framework is summarized,in which the functions of all the processing modules are ***,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 ***,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 *** 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.
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