Paper Info
Title
A quantitative approach to modeling the information flow of diagnosis tasks in nuclear power plants
Abstract
This paper proposes an approach to quantify the information flow of diagnosis tasks in nuclear power plants. This paper presents a method to quantify cognitive information flows in diagnosis tasks, integrating a stage model (a qualitative approach) with information theory (a quantitative approach). The focus of the method is on (i) developing a stage model to describe information flow for diagnosis tasks, and (ii) quantifying the information flow. We develop an information flow model which consists of four stages: perception, identification, diagnosis, and planning. According to the knowledge it contains, five categories of the state of information are defined. Then, the information flow of the model is quantified using Conant's model. Finally, we apply this method to seven diagnosis tasks described in diagnosis procedure of the emergency operating procedure for reference plant A (combustion engineering type) and investigate the applicability of this approach.
Year
DOI
Venue
2003
10.1016/S0951-8320(02)00289-2
Reliability Engineering & System Safety
Keywords
DocType
Volume
Information flow,Quantification,Diagnosis tasks,Operating procedures
Journal
80
Issue
ISSN
Citations 
1
0951-8320
0
PageRank 
References 
Authors
0.34
7
2
Name
Order
Citations
PageRank
Jong Hyun Kim17716.14
Poong-hyun Seong211524.53