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Association rules analysis of human factor events based on statistics method in digital nuclear power plant

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成果类型:
期刊论文
作者:
Jiang, Jian-jun*;Zhang, Li;Wang, Yi-qun;Zhang, Kun;Yang, Da-Xin;...
通讯作者:
Jiang, Jian-jun
作者机构:
[Yang, Da-Xin; Zhang, Li; Zhang, Kun; He, Wen; Jiang, Jian-jun] Univ S China, Human Factors Inst, Hengyang 421001, Hunan, Peoples R China.
[Yang, Da-Xin; Zhang, Kun] Univ S China, Coll Nucl Sci & Technol, Hengyang 421001, Hunan, Peoples R China.
[Wang, Yi-qun] Univ S China, Ctr Res Informat Management, Hengyang 421001, Hunan, Peoples R China.
[Zhang, Li] HuNan Inst Technol, Hengyang 421001, Hunan, Peoples R China.
[Jiang, Jian-jun] GuangZhou Modernizat Informat Engn Vocat Tech Col, Dept Informat Engn, Guangzhou 510663, Guangdong, Peoples R China.
通讯机构:
[Jiang, Jian-jun] G
GuangZhou Modernizat Informat Engn Vocat Tech Col, Dept Informat Engn, Guangzhou 510663, Guangdong, Peoples R China.
语种:
英文
关键词:
A weight association rules;Dynamic function;Human factor events;SGTR
期刊:
Safety Science
ISSN:
0925-7535
年:
2011
卷:
49
期:
6
页码:
946-950
基金类别:
In this paper, the authors propose a novel method based on association rule. The methods mainly include dynamic human factors and some theories. Firstly, the authors depict the process of the proposed method in detail; secondly, the function of human factors is analyzed qualitatively and quantitatively; finally, a series of methods are proposed and some results are obtained by experiment. Results show which human factor events easily occur, which events are the strong correlation, general
机构署名:
本校为第一机构
院系归属:
核科学技术学院
管理学院
摘要:
With human factor events rising in recent years, many researches begin to pay much attention to them. Especially, human factor events in nuclear power plant show more important than other human factor events. To effectively decrease human factor events, the authors propose the method of association rule analysis of human factor events in this paper. Association rule is one of the most popular data mining techniques applied to many scientific and industrial problems. Based on traditional methods, the authors propose a weight association rule based on statistics. Weight factors consist of inner ...

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