Condition monitoring of marine and offshore machinery using evidential reasoning techniques
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1204
- Type
- D - Journal article
- DOI
-
10.1080/20464177.2019.1573457
- Title of journal
- Journal of Marine Engineering and Technology
- Article number
- -
- First page
- 1
- Volume
- 0
- Issue
- -
- ISSN
- 2046-4177
- Open access status
- Access exception
- Month of publication
- January
- 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
-
3
- Research group(s)
-
B - LOOM
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work was produced through an EU project RESET (H2020-730888, €1.42m, 2017-2021) and in collaboration with Shell Marine Products and IPU Group. The work has been used in Shell Global Lubricants’ planned maintenance system, benefiting 1,000 ships with tonnage ranging between 5,000 and 250,000 tons (M. Raynes, Technology Manager of Services Development, m.raynes@shell.com). The efficient marine planned maintenance system has been used for robust improvement and management, especially in situations where conventional planned maintenance techniques cannot be implemented with confidence. It has led to the award of the RINA–Lloyd’s Register Maritime Safety Award (T. Blakeley, CEO, tblakeley@rina.org.uk).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -