A computational model for evaluating the effects of attention, memory, and mental models on situation assessment of nuclear power plant operators
Hyun-Chul Lee and
Poong-Hyun Seong
Reliability Engineering and System Safety, 2009, vol. 94, issue 11, 1796-1805
Abstract:
Operators in nuclear power plants have to acquire information from human system interfaces (HSIs) and the environment in order to create, update, and confirm their understanding of a plant state, as failures of situation assessment may cause wrong decisions for process control and finally errors of commission in nuclear power plants. A few computational models that can be used to predict and quantify the situation awareness of operators have been suggested. However, these models do not sufficiently consider human characteristics for nuclear power plant operators.
Keywords: Computational model; Situation assessment; Bayesian network; Nuclear power plant operators; Human reliability analysis; Cognitive factor (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832009001173
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:94:y:2009:i:11:p:1796-1805
DOI: 10.1016/j.ress.2009.05.012
Access Statistics for this article
Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares
More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().