Quantitative risk prognostics framework based on Petri Net and Bow-Tie models
A simulation framework based on the Petri Net model is proposed in this paper used for performing quantitative risk prognosis through extending the Bow-Tie model. A Petri Net model is built to include features, specific to assets, such as the condition of the asset, the projected operational usage,...
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| Format: | Article |
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Elsevier
2017
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| Online Access: | https://eprints.nottingham.ac.uk/41560/ |
| _version_ | 1848796302771486720 |
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| author | Vileiniskis, Marius Remenyte-Prescott, Rasa |
| author_facet | Vileiniskis, Marius Remenyte-Prescott, Rasa |
| author_sort | Vileiniskis, Marius |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | A simulation framework based on the Petri Net model is proposed in this paper used for performing quantitative risk prognosis through extending the Bow-Tie model. A Petri Net model is built to include features, specific to assets, such as the condition of the asset, the projected operational usage, inspection and maintenance policies and degradation process, so that the future condition of the asset over time can be estimated. Several new Petri Net modelling features which advance the traditional Bow-Tie approach are proposed, such as asset usage generating and usage dependent transitions, and the possibility of entering evidence about the actual condition of the asset through the use of truncated distributions. Monte Carlo simulation method is used to simulate the developed Petri Net model over a selected time frame, in order to obtain statistics necessary to perform risk assessment using the Bow-Tie model. The paper reports on the overall proposed methodology and then focusses on the development of the Petri Net model. The methodology is applied in risk prognostics of operating an underground passenger lift. In particular, the combination of the Petri Net and the Bow-Tie models is illustrated to predict the likelihood and the consequences of an event when a lift gets stuck in a shaft between landings. |
| first_indexed | 2025-11-14T19:45:50Z |
| format | Article |
| id | nottingham-41560 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:45:50Z |
| publishDate | 2017 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-415602020-05-04T18:38:41Z https://eprints.nottingham.ac.uk/41560/ Quantitative risk prognostics framework based on Petri Net and Bow-Tie models Vileiniskis, Marius Remenyte-Prescott, Rasa A simulation framework based on the Petri Net model is proposed in this paper used for performing quantitative risk prognosis through extending the Bow-Tie model. A Petri Net model is built to include features, specific to assets, such as the condition of the asset, the projected operational usage, inspection and maintenance policies and degradation process, so that the future condition of the asset over time can be estimated. Several new Petri Net modelling features which advance the traditional Bow-Tie approach are proposed, such as asset usage generating and usage dependent transitions, and the possibility of entering evidence about the actual condition of the asset through the use of truncated distributions. Monte Carlo simulation method is used to simulate the developed Petri Net model over a selected time frame, in order to obtain statistics necessary to perform risk assessment using the Bow-Tie model. The paper reports on the overall proposed methodology and then focusses on the development of the Petri Net model. The methodology is applied in risk prognostics of operating an underground passenger lift. In particular, the combination of the Petri Net and the Bow-Tie models is illustrated to predict the likelihood and the consequences of an event when a lift gets stuck in a shaft between landings. Elsevier 2017-03-23 Article PeerReviewed Vileiniskis, Marius and Remenyte-Prescott, Rasa (2017) Quantitative risk prognostics framework based on Petri Net and Bow-Tie models. Reliability Engineering and System Safety, 165 . pp. 62-73. ISSN 0951-8320 Petri Net; Bow-Tie model; Fault tree; Event tree; risk; asset management; prognostics http://www.sciencedirect.com/science/article/pii/S0951832016305026 doi:10.1016/j.ress.2017.03.026 doi:10.1016/j.ress.2017.03.026 |
| spellingShingle | Petri Net; Bow-Tie model; Fault tree; Event tree; risk; asset management; prognostics Vileiniskis, Marius Remenyte-Prescott, Rasa Quantitative risk prognostics framework based on Petri Net and Bow-Tie models |
| title | Quantitative risk prognostics framework based on Petri Net and Bow-Tie models |
| title_full | Quantitative risk prognostics framework based on Petri Net and Bow-Tie models |
| title_fullStr | Quantitative risk prognostics framework based on Petri Net and Bow-Tie models |
| title_full_unstemmed | Quantitative risk prognostics framework based on Petri Net and Bow-Tie models |
| title_short | Quantitative risk prognostics framework based on Petri Net and Bow-Tie models |
| title_sort | quantitative risk prognostics framework based on petri net and bow-tie models |
| topic | Petri Net; Bow-Tie model; Fault tree; Event tree; risk; asset management; prognostics |
| url | https://eprints.nottingham.ac.uk/41560/ https://eprints.nottingham.ac.uk/41560/ https://eprints.nottingham.ac.uk/41560/ |