Risk-Based Clustering for Near Misses Identification in Integrated Deterministic and Probabilistic Safety Analysis
Joint Authors
Vagnoli, Matteo
Di Maio, Francesco
Zio, Enrico
Source
Science and Technology of Nuclear Installations
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-29, 29 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-04
Country of Publication
Egypt
No. of Pages
29
Abstract EN
In integrated deterministic and probabilistic safety analysis (IDPSA), safe scenarios and prime implicants (PIs) are generated by simulation.
In this paper, we propose a novel postprocessing method, which resorts to a risk-based clustering method for identifying Near Misses among the safe scenarios.
This is important because the possibility of recovering these combinations of failures within a tolerable grace time allows avoiding deviations to accident and, thus, reducing the downtime (and the risk) of the system.
The postprocessing risk-significant features for the clustering are extracted from the following: (i) the probability of a scenario to develop into an accidental scenario, (ii) the severity of the consequences that the developing scenario would cause to the system, and (iii) the combination of (i) and (ii) into the overall risk of the developing scenario.
The optimal selection of the extracted features is done by a wrapper approach, whereby a modified binary differential evolution (MBDE) embeds a K -means clustering algorithm.
The characteristics of the Near Misses scenarios are identified solving a multiobjective optimization problem, using the Hamming distance as a measure of similarity.
The feasibility of the analysis is shown with respect to fault scenarios in a dynamic steam generator (SG) of a nuclear power plant (NPP).
American Psychological Association (APA)
Di Maio, Francesco& Vagnoli, Matteo& Zio, Enrico. 2015. Risk-Based Clustering for Near Misses Identification in Integrated Deterministic and Probabilistic Safety Analysis. Science and Technology of Nuclear Installations،Vol. 2015, no. 2015, pp.1-29.
https://search.emarefa.net/detail/BIM-1077867
Modern Language Association (MLA)
Di Maio, Francesco…[et al.]. Risk-Based Clustering for Near Misses Identification in Integrated Deterministic and Probabilistic Safety Analysis. Science and Technology of Nuclear Installations No. 2015 (2015), pp.1-29.
https://search.emarefa.net/detail/BIM-1077867
American Medical Association (AMA)
Di Maio, Francesco& Vagnoli, Matteo& Zio, Enrico. Risk-Based Clustering for Near Misses Identification in Integrated Deterministic and Probabilistic Safety Analysis. Science and Technology of Nuclear Installations. 2015. Vol. 2015, no. 2015, pp.1-29.
https://search.emarefa.net/detail/BIM-1077867
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1077867