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dc.contributor.authorNordin, MH
dc.contributor.authorSharma, S
dc.contributor.authorKhan, A
dc.contributor.authorGianni, M
dc.contributor.authorRajendran, S
dc.contributor.authorSutton, R
dc.date.accessioned2022-06-10T13:15:42Z
dc.date.available2022-06-10T13:15:42Z
dc.date.issued2022-05-26
dc.identifier.issn2504-446X
dc.identifier.issn2504-446X
dc.identifier.other137
dc.identifier.urihttp://hdl.handle.net/10026.1/19287
dc.description.abstract

<jats:p>Operations and maintenance of Offshore Wind Turbines (OWTs) are challenging, with manual operators constantly exposed to hazardous environments. Due to the high task complexity associated with the OWT, the transition to unmanned solutions remains stagnant. Efforts toward unmanned operations have been observed using Unmanned Aerial Vehicles (UAVs) and Unmanned Underwater Vehicles (UUVs) but are limited mostly to visual inspections only. Collaboration strategies between unmanned vehicles have introduced several opportunities that would enable unmanned operations for the OWT maintenance and repair activities. There have been many papers and reviews on collaborative UVs. However, most of the past papers reviewed collaborative UVs for surveillance purposes, search and rescue missions, and agricultural activities. This review aims to present the current capabilities of Unmanned Vehicles (UVs) used in OWT for Inspection, Maintenance, and Repair (IMR) operations. Strategies to implement collaborative UVs for complex tasks and their associated challenges are discussed together with the strategies to solve localization and navigation issues, prolong operation time, and establish effective communication within the OWT IMR operations. This paper also briefly discusses the potential failure modes for collaborative approaches and possible redundancy strategies to manage them. The collaborative strategies discussed herein will be of use to researchers and technology providers in identifying significant gaps that have hindered the implementation of full unmanned systems which have significant impacts towards the net zero strategy.</jats:p>

dc.format.extent137-137
dc.languageen
dc.language.isoen
dc.publisherMDPI AG
dc.subjectcollaborative
dc.subjectunmanned vehicles
dc.subjectUAV
dc.subjectUSV
dc.subjectUUV
dc.subjectoffshore wind turbine
dc.subjectunmanned operations
dc.subjectlocalization
dc.titleCollaborative Unmanned Vehicles for Inspection, Maintenance, and Repairs of Offshore Wind Turbines
dc.typejournal-article
dc.typeReview
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000818219600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue6
plymouth.volume6
plymouth.publication-statusPublished online
plymouth.journalDrones
dc.identifier.doi10.3390/drones6060137
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2022-05-24
dc.rights.embargodate2022-6-11
dc.identifier.eissn2504-446X
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.3390/drones6060137
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review


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