Uncertainty-Aware Dynamic Reliability Analysis Framework for Complex Systems
Critical technological systems exhibit complex dynamic characteristics such as time-dependent behavior, functional dependencies among events, sequencing and priority of causes that may alter the effects of failure. Dynamic fault trees (DFTs) have been used in the past to model the failure logic of s...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8375086/ |
| _version_ | 1818854659319660544 |
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| author | Sohag Kabir Mohammad Yazdi Jose Ignacio Aizpurua Yiannis Papadopoulos |
| author_facet | Sohag Kabir Mohammad Yazdi Jose Ignacio Aizpurua Yiannis Papadopoulos |
| author_sort | Sohag Kabir |
| collection | DOAJ |
| description | Critical technological systems exhibit complex dynamic characteristics such as time-dependent behavior, functional dependencies among events, sequencing and priority of causes that may alter the effects of failure. Dynamic fault trees (DFTs) have been used in the past to model the failure logic of such systems, but the quantitative analysis of DFTs has assumed the existence of precise failure data and statistical independence among events, which are unrealistic assumptions. In this paper, we propose an improved approach to reliability analysis of dynamic systems, allowing for uncertain failure data and statistical and stochastic dependencies among events. In the proposed framework, DFTs are used for dynamic failure modeling. Quantitative evaluation of DFTs is performed by converting them into generalized stochastic Petri nets. When failure data are unavailable, expert judgment and fuzzy set theory are used to obtain reasonable estimates. The approach is demonstrated on a simplified model of a cardiac assist system. |
| first_indexed | 2024-12-19T07:56:13Z |
| format | Article |
| id | doaj.art-816502632f6e4f59aa2ac83185167fae |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T07:56:13Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-816502632f6e4f59aa2ac83185167fae2022-12-21T20:30:00ZengIEEEIEEE Access2169-35362018-01-016294992951510.1109/ACCESS.2018.28431668375086Uncertainty-Aware Dynamic Reliability Analysis Framework for Complex SystemsSohag Kabir0https://orcid.org/0000-0001-7483-9974Mohammad Yazdi1Jose Ignacio Aizpurua2Yiannis Papadopoulos3School of Engineering and Computer Science, University of Hull, Hull, U.K.Centre for Marine Technology and Ocean Engineering, University of Lisbon, Lisbon, PortugalDepartment of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, U.K.School of Engineering and Computer Science, University of Hull, Hull, U.K.Critical technological systems exhibit complex dynamic characteristics such as time-dependent behavior, functional dependencies among events, sequencing and priority of causes that may alter the effects of failure. Dynamic fault trees (DFTs) have been used in the past to model the failure logic of such systems, but the quantitative analysis of DFTs has assumed the existence of precise failure data and statistical independence among events, which are unrealistic assumptions. In this paper, we propose an improved approach to reliability analysis of dynamic systems, allowing for uncertain failure data and statistical and stochastic dependencies among events. In the proposed framework, DFTs are used for dynamic failure modeling. Quantitative evaluation of DFTs is performed by converting them into generalized stochastic Petri nets. When failure data are unavailable, expert judgment and fuzzy set theory are used to obtain reasonable estimates. The approach is demonstrated on a simplified model of a cardiac assist system.https://ieeexplore.ieee.org/document/8375086/Dynamic systemsfault tree analysisfuzzy set theoryPetri netsreliability analysis |
| spellingShingle | Sohag Kabir Mohammad Yazdi Jose Ignacio Aizpurua Yiannis Papadopoulos Uncertainty-Aware Dynamic Reliability Analysis Framework for Complex Systems IEEE Access Dynamic systems fault tree analysis fuzzy set theory Petri nets reliability analysis |
| title | Uncertainty-Aware Dynamic Reliability Analysis Framework for Complex Systems |
| title_full | Uncertainty-Aware Dynamic Reliability Analysis Framework for Complex Systems |
| title_fullStr | Uncertainty-Aware Dynamic Reliability Analysis Framework for Complex Systems |
| title_full_unstemmed | Uncertainty-Aware Dynamic Reliability Analysis Framework for Complex Systems |
| title_short | Uncertainty-Aware Dynamic Reliability Analysis Framework for Complex Systems |
| title_sort | uncertainty aware dynamic reliability analysis framework for complex systems |
| topic | Dynamic systems fault tree analysis fuzzy set theory Petri nets reliability analysis |
| url | https://ieeexplore.ieee.org/document/8375086/ |
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