Extending the survival signature paradigm to complex systems with non-repairable dependent failures
- Submitting institution
-
University of Central Lancashire
- Unit of assessment
- 12 - Engineering
- Output identifier
- 24803
- Type
- D - Journal article
- DOI
-
10.1177/1748006x18808085
- Title of journal
- Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
- Article number
- -
- First page
- 505
- Volume
- 233
- Issue
- 4
- ISSN
- 1748-006X
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2019
- 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
-
2
- 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 novel method, based on Monte Carlo simulation, that enables intuitive use of the survival signature to provide reliability evaluation of systems that are susceptible to induced failures. The advantage of this approach is that it is more applicable to real life conditions than traditional methods. The paper was awarded the Donald Julius Groen Prize by the Safety & Reliability Group of the Institution of Mechanical Engineers in 2020.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
