Modeling Common Cause Failure in Dynamic PRA
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914833636524032 |
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| author | Picoco, Claudia Rychkov, Valentin |
| author_facet | Picoco, Claudia Rychkov, Valentin |
| contents | In this paper we propose a dynamic model of Common Cause Failures (CCF) that allows to generate common cause events in time. The proposed model is a generalization of Binomial Failure Rate Model (Atwood model) that can generate staggered failures of multiple components due to a common cause. We implement the model using statechart formalism, a similar implementation can be adopted in other modeling languages like Petri Nets or Hybrid Stochastic Automata. The presented model was integrated in a Dynamic PRA study. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_08879 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Modeling Common Cause Failure in Dynamic PRA Picoco, Claudia Rychkov, Valentin Performance In this paper we propose a dynamic model of Common Cause Failures (CCF) that allows to generate common cause events in time. The proposed model is a generalization of Binomial Failure Rate Model (Atwood model) that can generate staggered failures of multiple components due to a common cause. We implement the model using statechart formalism, a similar implementation can be adopted in other modeling languages like Petri Nets or Hybrid Stochastic Automata. The presented model was integrated in a Dynamic PRA study. |
| title | Modeling Common Cause Failure in Dynamic PRA |
| topic | Performance |
| url | https://arxiv.org/abs/2406.08879 |