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Markov reliability model research of monitoring process in digital main control room of nuclear power plant

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WOS被引频次:7
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成果类型:
期刊论文
作者:
Jiang, Jian-jun;Zhang, Li;Wang, Yi-qun;Peng, Yu-yuan;Zhang, Kun;He, Wen
通讯作者:
Jiang, JJ
作者机构:
[Zhang, Li; Zhang, Kun; He, Wen; Jiang, Jian-jun] Human Factors Institute, University of South China, Hengyang, Hunan 421001, China
[Wang, Yi-qun] Center for Research in Information Management, University of South China, Hengyang, Hunan 421001, China
[Peng, Yu-yuan; Jiang, Jian-jun] Department of Computer Science, GuangZhou KangDa Vocational Technical College, Guang Zhou, GuangDong 511363, China
[Zhang, Li] HuNan Institute of Technology, Hengyang 421001, China
[Zhang, Kun; Jiang, Jian-jun] College of Nuclear Science and Technology, University of South China, Hengyang, Hunan 421001, China
通讯机构:
[Jiang, Jian-jun] Univ S China, Human Factors Inst, Econ Management Coll, Hengyang 421001, Hunan, Peoples R China.
语种:
英文
关键词:
Digital main control room;Markov model;Probability distributed function;Probability of correlation degree
期刊:
Safety Science
ISSN:
0925-7535
年:
2011
卷:
49
期:
6
页码:
843-851
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:20111913966526
基金类别:
National nature Science Foundation of China [70873040, 71071051]; Ling Dong Nuclear Power Company Ltd. of China [KR70543]
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:
Monitoring process is an important part in a high safety digital main control room of nuclear power plant (NPP), it is the source extracted information and found abnormal information in time. As the human factors events arisen from monitoring process recently take place more and more frequent, the authors propose a reliability Markov model to effectively decrease these abnormal events. The model mainly analyzes next monitoring object probability in terms of current information and plant state. The authors divide digital human–machine interface into two parts that are referred as logical homogeneous Markov and logical heterogeneous Markov. For the former, a series of methods of probability evaluation are proposed, such as, Markov transition probability with condition, probability distributed function with human factors, system state and alarm; for the latter, the authors propose the calculation of probability of correlation degree between last time and next time and probability calculation methods with multi-father nodes. The methods can effectively estimate the transition probability from a monitoring component to next monitoring component at time t, can effectively analyze which information is more important in next monitoring process and effectively find more useful information in time t + 1, so that the human factors events in monitoring process can greatly be decreased.
参考文献:
Adamyan A, 2002, RELIAB ENG SYST SAFE, V76, P227, DOI 10.1016/S0951-8320(02)00013-3
BERTOLINI, 2007, ERGONOMICS, V37, P405
Boudali H, 2005, RELIAB ENG SYST SAFE, V87, P337, DOI 10.1016/j.ress.2004.06.004
Bucci P, 2008, RELIAB ENG SYST SAFE, V93, P1616, DOI 10.1016/j.ress.2008.01.008
Chang YHJ, 2007, RELIAB ENG SYST SAFE, V92, P1061, DOI 10.1016/j.ress.2006.05.011

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