Paper Info
Title
An analytic model for situation assessment of nuclear power plant operators based on Bayesian inference
Abstract
Simulation-based human reliability analysis (HRA) methods such as IDAC seem to provide a new direction for the development of advanced HRA methods. In such simulation-based HRA methods, the simulation model for the situation assessment of nuclear power plant (NPP) operators is essential, especially for addressing the issue of errors-of-commission (EOCs). Therefore, we propose an analytic model for the situation assessment of NPP operators based on Bayesian inference. The proposed model is found to be able to address several important features of the situation assessment of NPP operators, and is expected to provide good approximations to some parts of the situation assessment. A comparison with an existing model and identification of several other features of the situation assessment of NPP operators that should be further addressed are also provided.
Year
DOI
Venue
2006
10.1016/j.ress.2005.01.012
Reliability Engineering & System Safety
Keywords
DocType
Volume
Human reliability analysis,Analytic model,Situation assessment,Bayesian inference,Nuclear power plant operators
Journal
91
Issue
ISSN
Citations 
3
0951-8320
12
PageRank 
References 
Authors
1.31
5
2
Name
Order
Citations
PageRank
Man Cheol Kim1567.53
Poong-hyun Seong211524.53