Automated Application of Full Matrix Capture to Assess the Structural Integrity of Mooring Chains
- Submitting institution
-
London South Bank University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 263345
- Type
- D - Journal article
- DOI
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10.1109/access.2018.2883378
- Title of journal
- IEEE Access
- Article number
- -
- First page
- 75560
- Volume
- 6
- Issue
- -
- ISSN
- 2169-3536
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2018
- URL
-
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8543782
- 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
-
6
- Research group(s)
-
B - Cognitive Systems Research Centre
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Dissanayake awarded PhD (2019) for this work, supervised by T. Sattar. Research 50% funded by TWI/NSIRC (£42K) 2015-Sept 2018. Delivered work packages for the EPSRC/InnovateUk funded project RIMCAW: Robotic inspection of mooring chains in air and water 2017 to 2018. Reported at the invited talk: Development of a mooring chain climbing robot for NDT inspection. FPSO network meeting, Oil and Gas UK, 20 June 2018, Aberdeen. Reported at the invited talk: Inspecting critical infrastructure in the energy sector using mobile robots to perform non-destructive testing, 5th International Congress on Energy Efiiciency and Energy Related Materials, 2019, Turkey
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
