Quality assessment and improvement of radar fault cause text

Konferenz: ISCTT 2022 - 7th International Conference on Information Science, Computer Technology and Transportation
27.05.2022 - 29.05.2022 in Xishuangbanna, China

Tagungsband: ISCTT 2022

Seiten: 7Sprache: EnglischTyp: PDF

Autoren:
Xie, Yuxi; Yang, Jiangping; Sun, Zhijian; Li, Yiyuan (Air Force Early Warning Academy, Wuhan, China)
Hu, Xin (Air Force Early Warning Academy, Wuhan, China & Unit 93498 of PLA, Shijiazhuang, China)

Inhalt:
Text quality directly affects the effect of text analysis. On the basis of summarizing the problems that exist in the radar fault cause, the text quality assessment and improvement method based on the knowledge graph searching is proposed. First, assessment index system of text quality of radar fault causes was constructed, and DAHP method was applied to weight each index. Then, classification scoring rules were set by the method of knowledge graph searching. Finally, the quality of the historical low quality fault cause text is improved and the quality of new entry text is guaranteed. The examples show that the text assessment method based on the knowledge graph searching is more suitable for radar fault cause texts. The quality of the historical text is effectively promoted, and the quality of the newly entered text is effectively guaranteed. It lays the foundation for intelligent analysis of equipment indemnification texts.