Text Mining Techniques for Knowledge of Defects in Power Equipment

Abstract

Text mining techniques has become a research hotspot in the field of power equipment defects. To summarize the research advances in the text mining techniques, this paper first analyzes the general steps and research hotspots of the techniques, and then focuses on the typical applications of text mining in the field of power equipment defects, including the construction of an ontology dictionary of electric power equipment, the evaluation of health status of the equipment based on text information, automatic classification of the defects according to the severity of the defects in the equipment, the precise extraction of defect details, the construction and application of knowledge graphs of power equipment defects. At the end of the paper, the challenges that text mining in the field of power equipment defects has to face are proposed. This work will help readers to systematically and quickly know the text mining techniques for knowledge of defects in power equipment.