版权说明 帮助中心
首页 > 成果 > 详情

Reliability forecasting for operators’ situation assessment in digital nuclear power plant main control room based on dynamic network model

SCI-EEI
WOS被引频次:3
认领
导出
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Zou, Yanhua;Zhang, Li;Li, Pengcheng
通讯作者:
Zhang, L
作者机构:
[Zhang, Li; Zou, Yanhua] School of Nuclear Science and Technology, University of South China, Hengyang, Hunan, China
[Zhang, Li; Zou, Yanhua] Institute of Human Factors Engineering and Safety Management, Hunan Institute of Technology, Hengyang, Hunan, China
[Li, Pengcheng; Zhang, Li] Human Factor Institute, University of South China, Hengyang, Hunan, China
通讯机构:
[Zhang, Li] Hunan Inst Technol, Inst Human Factors Engn & Safety Management, Hengyang 421002, Hunan, Peoples R China.
语种:
英文
关键词:
Situation assessment;Dynamic network model;Reliability forecasting;Digital main control room;Human performance
期刊:
Safety Science
ISSN:
0925-7535
年:
2015
卷:
80
页码:
163-169
文献类别:
WOS:Article;EI:Journal article (JA)
所属学科:
ESI学科类别:工程学;WOS学科类别:Engineering, Industrial;Operations Research & Management Science
入藏号:
EI:20153301176006
基金类别:
National Natural Science Foundation of China [71371070, 71071051, 71301069]; Research Project of LingDong nuclear Power Co. Ltd. [KR70543]; Research Project of Hunan Institute of Technology [HY09023]; Scientific Research Project of Hunan Provincial Education Department [15B062]
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 the technical development of computer hardware and software, digitalization is a trend in large-scale complex systems such as nuclear power plants (NPPs). It changes the way main control room (MCR) operators interact with systems. Faced with these technical changes, operators need to continue improving their situation assessment (SA) reliability level. In addition to evaluate operators’ SA reliability, managers and shift supervisors also want to forecast their SA reliability level. There have been many studies with respect to operators’ SA, but most of them are static analysis method and cannot be applied to predict operators’ SA reliability. So, on the basis of different forecasting approaches and observation data, how to predict the operators’ SA reliability level has became a problem that many analyst interest in. In this paper, first we identified the influence factors associated with SA reliability, and then we developed the SA reliability model, finally we proposed a reliability forecasting model by integrating time series forecasting method with dynamic network model (DNM). Our experiment verification focused on steam generator tube rupture (SGTR) event, using the forecasting model, we demonstrated how to predict operators’ SA reliability during the course, and the prediction results are consistent with measurement results.
参考文献:
Armbruster Benjamin, 2011, DYNAMIC NETWORK MODE
DAGUM P, 1992, UNCERTAINTY IN ARTIFICIAL INTELLIGENCE, P41
Dai Li-cao, 2012, SYST ENG, V11, P83
de Bree Sander, NEXTGEN AIRCRAFT REL
DeGroot M. H., 2011, PROBABILITY STAT

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com