Flight safety assessment based on a modified human error risk quantification approach.
Autor: | Guo Y; School of Aeronautical Engineering, Nanjing Vocational University of Industry Technology, Nanjing, China.; Aeronautic Intelligent Manufacturing and Digital Health Management Technology Engineering Research Center, Nanjing Vocational University of Industry Technology, Nanjing, China., Suo X; School of Aeronautical Engineering, Nanjing Vocational University of Industry Technology, Nanjing, China.; Aeronautic Intelligent Manufacturing and Digital Health Management Technology Engineering Research Center, Nanjing Vocational University of Industry Technology, Nanjing, China. |
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Jazyk: | angličtina |
Zdroj: | PloS one [PLoS One] 2024 Apr 29; Vol. 19 (4), pp. e0302511. Date of Electronic Publication: 2024 Apr 29 (Print Publication: 2024). |
DOI: | 10.1371/journal.pone.0302511 |
Abstrakt: | In risk and safety assessments of aviation systems, engineers generally pay more attention to the risks of hardware or software failure and focus less on the risks caused by human errors. In this paper, a (FRAHE) method is proposed for identifying this critical error type and determining the risk severity of human errors. This method accounts for the human error probability as well as the impacts of human errors on the system. The fuzzy inference approach is employed in this paper to address the uncertainty and issues of imprecision that arise from insufficient information and scarce error data and a risk assessment model of human error is developed. The model can be used to precisely describe the relationship between the output risk severity and the input risk indicators, including the human error probability, the error impact probability, and the human error consequence. A case study of the approach task is presented to demonstrate the availability and reasonability of the model. The risk-based modeling method can not only provide valuable information for reducing the occurrence of critical errors but also be used to conduct prospective analyses to prevent unsafe incidents or aviation accidents. Competing Interests: The authors have declared that no competing interests exist. (Copyright: © 2024 Guo, Suo. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.) |
Databáze: | MEDLINE |
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