Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Anticipating Human Errors from Periodic Big Survey Data in Nuclear Power Plants
- Authors
- Lee, Hyun-Chul; Jang, Tong-Il; Moon, Kwangsu
- Issue Date
- Dec-2017
- Publisher
- IEEE
- Keywords
- component; human errors; anticipation; big survey data; qualitative data; nucleaer power plant
- Citation
- 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), v.2018-January, pp 4777 - 4778
- Pages
- 2
- Journal Title
- 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)
- Volume
- 2018-January
- Start Page
- 4777
- End Page
- 4778
- ISSN
- 2639-1589
- Abstract
- Human errors are the critical factor for nuclear safety in nuclear power plants (NPPs). A human error anticipation method for nuclear power plant is proposed in this presentation. The main idea of the method is to catch a human error omen from survey data, so-called work condition survey (WCS), that the NPP collects periodically. The WCS data is so various and much because it is collected through questionnaires. A database is designed to process the big WCS data efficiently. A method for human error anticipation based on statistical methods is proposed and verified using the database containing WCS data collected for last 3 years. It is expected that the method contribute to monitor human errors likelihood and to plan human error prevention strategies.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Social Sciences > Department of Psychology > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.