| 注册
首页|期刊导航|舰船电子工程|大数据挖掘理论在电气工程中的应用

大数据挖掘理论在电气工程中的应用

吴嵘

舰船电子工程2018,Vol.38Issue(5):103-106,4.
舰船电子工程2018,Vol.38Issue(5):103-106,4.DOI:10.3969/j.issn.1672-9730.2018.05.024

大数据挖掘理论在电气工程中的应用

Applications of Data Mining Theory in Electrical Engineering

吴嵘1

作者信息

  • 1. 南京理工大学 南京210094
  • 折叠

摘要

Abstract

This paper proposes an electrical engineering fault analysis method based on big data mining theory.In this study, the global information is introduced in the power system,mainly using clustering analysis in the theory of data mining technology, then the fault component and fault section can be repidly and accurately detected,finally the failure analysis can be completed. This paper introduces the global information into electrical engineering,and then new application fields for electrical engineering failure analysis are opened up.Data mining can automatically extract valid,novel and potentially useful information from large data-base information,and the theory of data mining can make an important contribution to the study of electrical engineering.

关键词

故障分析/大数据挖掘/数据分类/电气工程/聚类分析

Key words

fault analysis/big data mining/data classification/electrical engineering/cluster analysis

分类

信息技术与安全科学

引用本文复制引用

吴嵘..大数据挖掘理论在电气工程中的应用[J].舰船电子工程,2018,38(5):103-106,4.

舰船电子工程

OACSTPCD

1672-9730

访问量0
|
下载量0
段落导航相关论文