Preliminary Application of Big Data Technology in Defect Analysis of Nuclear Power Equipment

被引：0

作者：

Xu X. ^{[1
]}

Qin X. ^{[1
]}

Yang Q. ^{[1
]}

Zhu Y. ^{[1
]}

机构：

[1] Jiangsu Nuclear Power Corporation, Lianyungang, 222000, Jiangsu

来源：

Hedongli Gongcheng/Nuclear Power Engineering | 2020年 / 41卷

关键词：

Big data; Defect analysis; Device data analysis; Machine learning; Text similarity;

D O I：

10.13832/j.jnpe.2020.S1.0068

中图分类号：

学科分类号：

摘要：

The use of big data technology in the equipment defect analysis is studied, and the applicability of big data technology in the processing of equipment defect texts is analyzed. The data resources, the data quality, the application scenes and the solution design involved in the application of big data technology is elaborated. The similarity between short texts is calculated by big data technology based on text analysis, and the equipment master data encoding and equipment failure modes are compared. It is applied successfully in the duplicate checking and recommendation of material data encoding, and the automatic classification statistics of equipment defect texts, which is beneficial to the development and utilization of equipment information resources based on big data technology. © 2020, Editorial Board of Journal of Nuclear Power Engineering. All right reserved.

引用

页码：68 / 72

页数：4

共 8 条

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[6] pp. 140-144
[7] 34
[8] pp. 35-38

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