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
Type | Article |
---|---|
Title | Use of a big data analysis technique for extracting HRA data from event investigation reports based on the Safety-II concept |
Authors | Ham, 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. |
Keywords | Human reliability analysis; Nuclear power plant; Safety-II ; Classification and regression tree; Event investigation report |
Publisher | Elsevier |
Journal | Reliability Engineering and System Safety |
ISSN | 0951-8320 |
Electronic | 1879-0836 |
Publication dates | |
Online | 29 Jul 2018 |
01 Feb 2020 | |
Publication process dates | |
Deposited | 05 Dec 2019 |
Accepted | 26 Jul 2018 |
Output status | Published |
Accepted author manuscript | License |
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 identifier | WOS:000503316500007 |
Language | English |
https://repository.mdx.ac.uk/item/88q9v
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