EconPapers    
Economics at your fingertips  
 

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:reensy:v:218:y:2022:i:pa:s0951832021005007