A hybrid load flow and event driven simulation approach to multi-state system reliability evaluation
- Submitting institution
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The University of Liverpool
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12341
- Type
- D - Journal article
- DOI
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10.1016/j.ress.2016.04.002
- Title of journal
- Reliability Engineering and System Safety
- Article number
- -
- First page
- 351
- Volume
- 152
- Issue
- C
- ISSN
- 0951-8320
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2016
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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1
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The work has underpinned an industry-funded project "Machine Learning Algorithms for Imprecise and Bad Data" supported by Facebook (Van Dinh <vandinh@fb.com>) and the NERC grant "Building UK climate resilience through bridging the qualitative-quantitative data divide NERC" (NE/S016961/1). The work was part of Invited Keynote lecture at the International Workshop on Risk and Resilience of Industrial installations, Rome, Italy, 18-20 Sep 2019 and the International Workshop on Risk and Resilience of Industrial installations against natural threats and mitigation strategies, Prague, Czech Republic, 19-20 July 2018 (contact Fabrizio Paolacci <fabrizio.paolacci@uniroma3.it>).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -