Simulation methods for system reliability using the survival signature
- Submitting institution
-
University of Central Lancashire
- Unit of assessment
- 12 - Engineering
- Output identifier
- 25622
- Type
- D - Journal article
- DOI
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10.1016/j.ress.2017.06.018
- Title of journal
- Reliability Engineering & System Safety
- Article number
- -
- First page
- 327
- Volume
- 167
- Issue
- -
- ISSN
- 0951-8320
- Open access status
- Technical exception
- Month of publication
- November
- Year of publication
- 2017
- 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)
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K - Jost Institute for Tribotechnology
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper investigates whether the survival signature provides sufficient information to enable the failure time distribution of a system to be derived by simulation. The approach reduces system analysis time and has the potential to be used in different types of complex industrial mechanical systems. The project was a multi-disciplinary, collaboration funded by the EPSRC (EP/M018709/1) involving the Universities of Liverpool and Durham. One author was further supported by a Chinese scholarship scheme (Grant number 201306710035). The research was subsequently used to support investigations into complex system reliability, in collaboration with Thales (UK), at the University of Bristol.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
