Uncertainty Analysis of Method-Based Operating Event Groups Ranking
Safe operation and industrial improvements are coming from the technology development and operational experience (OE) feedback. A long life span for many industrial facilities makes OE very important. Proper assessment and understanding of OE remains a challenge because of organization system relati...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Science and Technology of Nuclear Installations |
| Online Access: | http://dx.doi.org/10.1155/2014/324710 |
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| _version_ | 1832549895840464896 |
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| author | Zdenko Šimić Benoit Zerger Reni Banov |
| author_facet | Zdenko Šimić Benoit Zerger Reni Banov |
| author_sort | Zdenko Šimić |
| collection | DOAJ |
| description | Safe operation and industrial improvements are coming from the technology development and operational experience (OE) feedback. A long life span for many industrial facilities makes OE very important. Proper assessment and understanding of OE remains a challenge because of organization system relations, complexity, and number of OE events acquired. One way to improve OE events understanding is to focus their investigation and analyze in detail the most important. The OE ranking method is developed to select the most important events based on the basic event parameters and the analytical hierarchy process applied at the level of event groups. This paper investigates further how uncertainty in the model affects ranking results. An analysis was performed on the set of the two databases from the 20 years of nuclear power plants in France and Germany. From all uncertainties the presented analysis selected ranking indexes as the most relevant for consideration. Here the presented analysis of uncertainty clearly shows that considering uncertainty is important for all results, especially for event groups ranked closely and next to the most important one. Together with the previously performed sensitivity analysis, uncertainty assessment provides additional insights and a better judgment of the event groups’ importance in further detailed investigation. |
| format | Article |
| id | doaj-art-eb79090afcad4e6b9a51b02329ce7fbb |
| institution | Kabale University |
| issn | 1687-6075 1687-6083 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Science and Technology of Nuclear Installations |
| spelling | doaj-art-eb79090afcad4e6b9a51b02329ce7fbb2025-02-03T06:08:24ZengWileyScience and Technology of Nuclear Installations1687-60751687-60832014-01-01201410.1155/2014/324710324710Uncertainty Analysis of Method-Based Operating Event Groups RankingZdenko Šimić0Benoit Zerger1Reni Banov2EC JRC-IET, European Commission Joint Research Centre, Institute for Energy and Transport, P.O. Box 2, 1755 ZG Petten, The NetherlandsEC JRC-IET, European Commission Joint Research Centre, Institute for Energy and Transport, P.O. Box 2, 1755 ZG Petten, The NetherlandsFaculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, CroatiaSafe operation and industrial improvements are coming from the technology development and operational experience (OE) feedback. A long life span for many industrial facilities makes OE very important. Proper assessment and understanding of OE remains a challenge because of organization system relations, complexity, and number of OE events acquired. One way to improve OE events understanding is to focus their investigation and analyze in detail the most important. The OE ranking method is developed to select the most important events based on the basic event parameters and the analytical hierarchy process applied at the level of event groups. This paper investigates further how uncertainty in the model affects ranking results. An analysis was performed on the set of the two databases from the 20 years of nuclear power plants in France and Germany. From all uncertainties the presented analysis selected ranking indexes as the most relevant for consideration. Here the presented analysis of uncertainty clearly shows that considering uncertainty is important for all results, especially for event groups ranked closely and next to the most important one. Together with the previously performed sensitivity analysis, uncertainty assessment provides additional insights and a better judgment of the event groups’ importance in further detailed investigation.http://dx.doi.org/10.1155/2014/324710 |
| spellingShingle | Zdenko Šimić Benoit Zerger Reni Banov Uncertainty Analysis of Method-Based Operating Event Groups Ranking Science and Technology of Nuclear Installations |
| title | Uncertainty Analysis of Method-Based Operating Event Groups Ranking |
| title_full | Uncertainty Analysis of Method-Based Operating Event Groups Ranking |
| title_fullStr | Uncertainty Analysis of Method-Based Operating Event Groups Ranking |
| title_full_unstemmed | Uncertainty Analysis of Method-Based Operating Event Groups Ranking |
| title_short | Uncertainty Analysis of Method-Based Operating Event Groups Ranking |
| title_sort | uncertainty analysis of method based operating event groups ranking |
| url | http://dx.doi.org/10.1155/2014/324710 |
| work_keys_str_mv | AT zdenkosimic uncertaintyanalysisofmethodbasedoperatingeventgroupsranking AT benoitzerger uncertaintyanalysisofmethodbasedoperatingeventgroupsranking AT renibanov uncertaintyanalysisofmethodbasedoperatingeventgroupsranking |