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An Approach to Grouping and Classification of Scenarios in Integrated Deterministic-Probabilistic Safety Analysis
KTH, Skolan för teknikvetenskap (SCI), Fysik, Kärnkraftssäkerhet.ORCID-id: 0000-0001-8216-9376
KTH, Skolan för teknikvetenskap (SCI), Fysik, Kärnkraftssäkerhet.ORCID-id: 0000-0002-0683-9136
2014 (Engelska)Ingår i: PSAM 2014 - Probabilistic Safety Assessment and Management, 2014Konferensbidrag, Publicerat paper (Övrigt vetenskapligt)
Abstract [en]

Integrated Deterministic Probabilistic Safety Assessment (IDPSA) methodologies aim to achieve completeness and consistency of the analysis. However, for the purpose of risk informed decision making it is often insufficient to merely calculate a quantitative value for the risk and its associated uncertainties. IDPSA combines deterministic model of a nuclear power plant with a method for exploration of the uncertainty space. Huge amount of data is generated usually in the process of such exploration. It is very difficult to "manually" process and extract from such data information that can be used by a decision maker for risk-informed characterization and eventually improvement of the system safety and performance. Such understanding requires an approach to the interpretation, grouping of similar scenario evolutions, and classification of the principal characteristics of the events that contribute to the risk. In this work we develop an approach for classification and characterization of failure domains (domains of uncertain parameters where critical system parameters exceed safety thresholds). The method is based on scenario grouping and clustering with application of decision trees for characterization of the influence of timing and order of the events

Ort, förlag, år, upplaga, sidor
2014.
Nyckelord [en]
Classification risk informed decision making, Clustering, Decision trees, Dynamic PSA
Nationell ämneskategori
Övrig annan teknik
Identifikatorer
URN: urn:nbn:se:kth:diva-164857Scopus ID: 2-s2.0-84925067962OAI: oai:DiVA.org:kth-164857DiVA, id: diva2:806241
Konferens
Probabilistic Safety Assessment and Management PSAM 12, June 2014, Honolulu, Hawaii
Anmärkning

QC 20150420

Tillgänglig från: 2015-04-20 Skapad: 2015-04-20 Senast uppdaterad: 2015-04-20Bibliografiskt granskad

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Galusin, SergeyKudinov, Pavel

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