Use of a big data analysis technique for extracting HRA data from event investigation reports based on the Safety-II concept

Article


Ham, D. and Park, J. 2020. Use of a big data analysis technique for extracting HRA data from event investigation reports based on the Safety-II concept. Reliability Engineering and System Safety. 194, pp. 1-15. https://doi.org/10.1016/j.ress.2018.07.033
TypeArticle
TitleUse of a big data analysis technique for extracting HRA data from event investigation reports based on the Safety-II concept
AuthorsHam, D. and Park, J.
Abstract

The safe operation of complex socio-technical systems including NPPs (Nuclear Power Plants) is a determinant for ensuring their sustainability. From this concern, it should be emphasized that a large portion of safety significant events were directly and/or indirectly caused by human errors. This means that the role of an HRA (Human Reliability Analysis) is critical because one of its applications is to systematically distinguish error-prone tasks triggering safety significant events. To this end, it is very important for HRA practitioners to access diverse HRA data which are helpful for understanding how and why human errors have occurred. In this study, a novel approach is suggested based on the Safety-II concept, which allows us to collect HRA data by considering failure and success cases in parallel. In addition, since huge amount of information can be gathered if the failure and success cases are simultaneously involved, a big data analysis technique called the CART (Classification And Regression Tree) is applied to deal with this problem. As a result, it seems that the novel approach proposed by combining the Safety-II concept with the CART technique is useful because HRA practitioners are able to get HRA data with respect to diverse task contexts.

KeywordsHuman reliability analysis; Nuclear power plant; Safety-II ; Classification and regression tree; Event investigation report
PublisherElsevier
JournalReliability Engineering and System Safety
ISSN0951-8320
Electronic1879-0836
Publication dates
Online29 Jul 2018
Print01 Feb 2020
Publication process dates
Deposited05 Dec 2019
Accepted26 Jul 2018
Output statusPublished
Accepted author manuscript
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Additional information

Part of special issue: SI:HRA Foundations and Future

Digital Object Identifier (DOI)https://doi.org/10.1016/j.ress.2018.07.033
Web of Science identifierWOS:000503316500007
LanguageEnglish
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