Imprecise system reliability and component importance based on survival signature
- Submitting institution
-
University of Central Lancashire
- Unit of assessment
- 12 - Engineering
- Output identifier
- 25623
- Type
- D - Journal article
- DOI
-
10.1016/j.ress.2016.01.019
- Title of journal
- Reliability Engineering & System Safety
- Article number
- -
- First page
- 116
- Volume
- 150
- Issue
- -
- ISSN
- 0951-8320
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2016
- 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)
-
K - Jost Institute for Tribotechnology
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents a methodology to explicitly include imprecision in reliability analysis. In addition, it proposes novel and efficient component importance measures. The approaches can help solve uncertainty issues within the real engineering applications in industry by supporting engineers in locating the most high-risk component within systems. The paper resulted from a multi-disciplinary, multi-university collaboration involving the Universities of Durham and Liverpool and has been highly influential in academic studies and industrial applications. For example, Lab-STICC (CNRS) Télécom Bretagne in France, where the method has been mainly focused on applications in subsea oil and gas operations.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
