Condition monitoring of marine and offshore machinery using evidential reasoning techniques-Reference-Cited by-同舟云学术

Condition monitoring of marine and offshore machinery using evidential reasoning techniques

Published:2019-01-30 Issue:2 Volume:20 Page:93-124
ISSN:2046-4177
Container-title:Journal of Marine Engineering & Technology
language:en
Short-container-title:Journal of Marine Engineering & Technology

Author:

Asuquo Maurice Patrick¹^ORCID,Wang Jin¹^ORCID,Phylip-Jones Geraint¹,Riahi Ramin²

Affiliation:

1. Liverpool Logistics, Offshore and Marine (LOOM) Research Institute, Department of Maritime and Mechanical Engineering, Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, UK

2. Columbia Shipmanagement, Hamburg, Germany

Publisher

Informa UK Limited

Subject

Ocean Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/20464177.2019.1573457

Reference57 articles.

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2. Aldridge J. 2012 Sep 27. Cranes malfunction at Bay Port. Bay of Plenty Times. 7.52am Thursday. New Zealand Herald.

3. Andersen DR, Sweeney DJ, Williams TA, Martin K. 2008. An introduction to management science: quantitative approaches to decision making. 12th ed. Mason (OH): Thomson South Western; p. 706–718.

4. Asuquo MP. 2018. Development of an efficient planned maintenance framework for marine and offshore machinery operating under highly uncertain environment [PhD dissertation]. Liverpool: Department of Maritime and Mechanical Engineering, Liverpool John Moores University.

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