Robust data-driven human reliability analysis using credal networks
Caroline Morais,
Hector Diego Estrada-Lugo,
Silvia Tolo,
Tiago Jacques,
Raphael Moura,
Michael Beer and
Edoardo Patelli
Reliability Engineering and System Safety, 2022, vol. 218, issue PA
Abstract:
Despite increasing collection efforts of empirical human reliability data, the available databases are still insufficient for understanding the relationships between human errors and their influencing factors. Currently, probabilistic tools such as Bayesian network are used to model data uncertainty requiring the estimation of conditional probability tables from data that is often not available. The most common solution relies on the adoption of assumptions and expert elicitation to fill the gaps. This gives an unjustified sense of confidence on the analysis.
Keywords: Credal network; Missing data; Human reliability analysis (HRA); CREAM; FPSO/FSO; Quantified bow-tie (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832021005007
Full text for ScienceDirect subscribers only
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:eee:reensy:v:218:y:2022:i:pa:s0951832021005007
DOI: 10.1016/j.ress.2021.107990
Access Statistics for this article
Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares
More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().