Improved dynamic dependability assessment through integration with prognostics
- Submitting institution
-
The University of Hull
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1397650
- Type
- D - Journal article
- DOI
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10.1109/tr.2017.2693821
- Title of journal
- IEEE Transactions on Reliability
- Article number
- -
- First page
- 893
- Volume
- 66
- Issue
- 3
- ISSN
- 0018-9529
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2017
- URL
-
http://ieeexplore.ieee.org/document/7924411/
- Supplementary information
-
-
- 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
-
4
- Research group(s)
-
-
- Citation count
- 15
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper led to the integration between model-based safety analysis and data-driven techniques to predict the remaining useful life of components. This practical innovation, supported by the HiP-HOPS method and tool, has led to applications with EDF and Siemens within the AURA project (https://www.hull.ac.uk/work-with-us/research/case-studies/aura). Koorosh Aslansefat was funded by EDF to further build on this work in his PhD (2018-2021). He has so far received the RenewableUK "Best Poster Award" at Global Offshore Wind 2019 and the prestigious "Leslie H. Paddle Scholarship" in the national IET Postgraduate Student Award competition. The paper contributes to the BIOLOGIC ICS.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -