Towards design of prognostics and health management solutions for maritime assets

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dc.contributor.authorNiculita, Octavian
dc.contributor.authorNwora, Obinna
dc.contributor.authorSkaf, Zakwan
dc.date.accessioned2017-06-07T14:50:19Z
dc.date.available2017-06-07T14:50:19Z
dc.date.issued2017-03-02
dc.description.abstractWith increase in competition between OEMs of maritime assets and operators alike, the need to maximize the productivity of an equipment and increase operational efficiency and reliability is increasingly stringent and challenging. Also, with the adoption of availability contracts, maritime OEMs are becoming directly interested in understanding the health of their assets in order to maximize profits and to minimize the risk of a system's failure. The key to address these challenges and needs is performance optimization. For this to be possible it is important to understand that system failure can induce downtime which will increase the total cost of ownership, therefore it is important by all means to minimize unscheduled maintenance. If the state of health or condition of a system, subsystem or component is known, condition-based maintenance can be carried out and system design optimization can be achieved thereby reducing total cost of ownership. With the increasing competition with regards to the maritime industry, it is important that the state of health of a component/sub-system/system/asset is known before a vessel embarks on a mission. Any breakdown or malfunction in any part of any system or subsystem on board vessel during the operation offshore will lead to large economic losses and sometimes cause accidents. For example, damages to the fuel oil system of vessel's main engine can result in huge downtime as a result of the vessel not being in operation. This paper presents a prognostic and health management (PHM) development process applied on a fuel oil system powering diesel engines typically used in various cruise and fishing vessels, dredgers, pipe laying vessels and large oil tankers. This process will hopefully enable future PHM solutions for maritime assets to be designed in a more formal and systematic way.en_UK
dc.identifier.citationTowards Design of Prognostics and Health Management Solutions for Maritime Assets, Procedia CIRP, Volume 59, 2017, Pages 122-132en_UK
dc.identifier.issn2212-8271
dc.identifier.urihttp://dx.doi.org/10.1016/j.procir.2016.10.128
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/11986
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-Non-Commercial-No Derivatives 4.0 Unported (CC BY-NC-ND 4.0). You are free to: Share — copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No Derivatives — If you remix, transform, or build upon the material, you may not distribute the modified material. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
dc.subjectPHMen_UK
dc.subjectmaintenanceen_UK
dc.subjectmaritimeen_UK
dc.subjectvesselsen_UK
dc.subjectFDIen_UK
dc.titleTowards design of prognostics and health management solutions for maritime assetsen_UK
dc.typeArticleen_UK

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