EconPapers    
Economics at your fingertips  
 

Study on the Classification of Performance Shaping Factors in Digital Control System of Nuclear Power Plants

Peng-cheng Li (), Li Zhang, Guo-hua Chen, Li-cao Dai and Ming Zhao
Additional contact information
Peng-cheng Li: University of South China
Li Zhang: University of South China
Guo-hua Chen: South China University of Technology
Li-cao Dai: University of South China
Ming Zhao: University of South China

Chapter Chapter 96 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 909-918 from Springer

Abstract: Abstract In order to identify the performance shaping factors (PSFs) which influencing operator’s reliability in digital control system of nuclear power plants (NPPs), the comparative analysis of the representative contextual characteristics between traditional analog control system and digital control system is carried out by means of literature research, field observation and interviews in this paper, and identify the typical PSFs in terms of technical system, human–computer interface, procedure system, task, and team communication and cooperation. The classification of PSFs has been collected from existing PSF taxonomies of human reliability analysis (HRA), human error analysis (HEA), and organizational factors classification and performance evaluation methods, and based on the established classification criterion and classification framework (the conceptual causal model of human error), the relative comprehensive classification system of PSFs is built to provide the reference to HEA and HRA in digital control systems of NPPs.

Keywords: Digital control system; Human reliability; Nuclear power plant; Performance shaping factors (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-3-642-38433-2_96

Ordering information: This item can be ordered from
http://www.springer.com/9783642384332

DOI: 10.1007/978-3-642-38433-2_96

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-3-642-38433-2_96