Analysis of non-coherent fault trees using ternary decision diagrams
Risk and safety assessments performed on potentially hazardous industrial systems commonly utilise Fault Tree Analysis (FTA) to forecast the probability of system failure. The type of logic for the top event is usually limited to AND and OR gates which leads to a coherent fault tree structure. In no...
| Main Authors: | , |
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| Format: | Article |
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Sage
2008
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| Online Access: | https://eprints.nottingham.ac.uk/3314/ |
| _version_ | 1848791000318738432 |
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| author | Remenyte-Prescott, Rasa Andrews, John |
| author_facet | Remenyte-Prescott, Rasa Andrews, John |
| author_sort | Remenyte-Prescott, Rasa |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Risk and safety assessments performed on potentially hazardous industrial systems commonly utilise Fault Tree Analysis (FTA) to forecast the probability of system failure. The type of logic for the top event is usually limited to AND and OR gates which leads to a coherent fault tree structure. In non-coherent fault trees components’ working states as well as components’ failures contribute to the failure of the system. The qualitative and quantitative analyses of non-coherent fault trees can introduce further difficulties over and above those seen in the coherent case. It is shown that the Binary Decision Diagram (BDD) method can be used for this type of assessment. The BDD approach can improve the accuracy and efficiency of the quantitative analysis of non-coherent fault trees. This article demonstrates the value of the Ternary Decision Diagram method (TDD) for the qualitative analysis of non-coherent fault trees. Such analysis can be used to provide information to a decision making process for future actions of an autonomous system and therefore it must be performed in real time. In these circumstances fast processing and small storage requirements are very important. The TDD method provides a fast processing capability and small storage is achieved when a single structure is used for both qualitative and quantitative analyses. The efficiency of the TDD method is discussed and compared to the performance of the established methods for analysis of non-coherent fault trees. |
| first_indexed | 2025-11-14T18:21:33Z |
| format | Article |
| id | nottingham-3314 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:21:33Z |
| publishDate | 2008 |
| publisher | Sage |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-33142020-05-04T20:27:52Z https://eprints.nottingham.ac.uk/3314/ Analysis of non-coherent fault trees using ternary decision diagrams Remenyte-Prescott, Rasa Andrews, John Risk and safety assessments performed on potentially hazardous industrial systems commonly utilise Fault Tree Analysis (FTA) to forecast the probability of system failure. The type of logic for the top event is usually limited to AND and OR gates which leads to a coherent fault tree structure. In non-coherent fault trees components’ working states as well as components’ failures contribute to the failure of the system. The qualitative and quantitative analyses of non-coherent fault trees can introduce further difficulties over and above those seen in the coherent case. It is shown that the Binary Decision Diagram (BDD) method can be used for this type of assessment. The BDD approach can improve the accuracy and efficiency of the quantitative analysis of non-coherent fault trees. This article demonstrates the value of the Ternary Decision Diagram method (TDD) for the qualitative analysis of non-coherent fault trees. Such analysis can be used to provide information to a decision making process for future actions of an autonomous system and therefore it must be performed in real time. In these circumstances fast processing and small storage requirements are very important. The TDD method provides a fast processing capability and small storage is achieved when a single structure is used for both qualitative and quantitative analyses. The efficiency of the TDD method is discussed and compared to the performance of the established methods for analysis of non-coherent fault trees. Sage 2008 Article PeerReviewed Remenyte-Prescott, Rasa and Andrews, John (2008) Analysis of non-coherent fault trees using ternary decision diagrams. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 222 (2). pp. 127-138. ISSN 1748-006X http://pio.sagepub.com/content/222/2/127.abstract doi:10.1243/1748006XJRR154 doi:10.1243/1748006XJRR154 |
| spellingShingle | Remenyte-Prescott, Rasa Andrews, John Analysis of non-coherent fault trees using ternary decision diagrams |
| title | Analysis of non-coherent fault trees using ternary decision diagrams |
| title_full | Analysis of non-coherent fault trees using ternary decision diagrams |
| title_fullStr | Analysis of non-coherent fault trees using ternary decision diagrams |
| title_full_unstemmed | Analysis of non-coherent fault trees using ternary decision diagrams |
| title_short | Analysis of non-coherent fault trees using ternary decision diagrams |
| title_sort | analysis of non-coherent fault trees using ternary decision diagrams |
| url | https://eprints.nottingham.ac.uk/3314/ https://eprints.nottingham.ac.uk/3314/ https://eprints.nottingham.ac.uk/3314/ |