A knowledge-based prognostics framework for railway track geometry degradation
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1321093
- Type
- D - Journal article
- DOI
-
10.1016/j.ress.2018.07.004
- Title of journal
- Reliability Engineering and System Safety
- Article number
- -
- First page
- 127
- Volume
- 181
- Issue
- -
- ISSN
- 0951-8320
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2018
- URL
-
-
- 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
-
3
- Research group(s)
-
U - Resilience Engineering
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research is a collaboration between Nottingham and the University of Granada, Spain supported by EPSRC (EP/M023028/1) on the whole life cost assessment of railway drainage systems. It presents the first approach which fuses current condition data with physics based condition models to predict the remaining time period during which railway track will remain in a safe operating condition.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
