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A Deep Learning Model for Remaining Useful Life Prediction of Aircraft Turbofan Engine on C-MAPSS Dataset

dc.contributor.authorAsif, Owais
dc.contributor.authorHaider, Sajjad A.L.I.
dc.contributor.authorNaqvi, Syed Rameez
dc.contributor.authorZaki, John F.W.
dc.contributor.authorKwak, Kyung Sup
dc.contributor.authorIslam, S. M.Riazul
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.date.accessioned2023-09-26T15:31:00Z
dc.date.available2023-09-26T15:31:00Z
dc.date.issued2022-09-15
dc.descriptionFunding Information: This work was supported by the National Research Foundation of Korea-Grant funded by the Korean Government (Ministry of Science and ICT) under Grant NRF-2020R1A2B5B02002478.en
dc.description.statusPeer revieweden
dc.format.extent16
dc.format.extent3476228
dc.identifier281138464
dc.identifier3a5e0d79-d821-4e4b-893f-76e3c13d18cc
dc.identifier85137592037
dc.identifier.citationAsif, O, Haider, S A L I, Naqvi, S R, Zaki, J F W, Kwak, K S & Islam, S M R 2022, 'A Deep Learning Model for Remaining Useful Life Prediction of Aircraft Turbofan Engine on C-MAPSS Dataset', IEEE Access, vol. 10, pp. 95425-95440. https://doi.org/10.1109/ACCESS.2022.3203406en
dc.identifier.doi10.1109/ACCESS.2022.3203406
dc.identifier.issn2169-3536
dc.identifier.otherORCID: /0000-0003-2968-9561/work/143414256
dc.identifier.urihttps://hdl.handle.net/2164/21766
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85137592037&partnerID=8YFLogxKen
dc.identifier.vol10en
dc.language.isoeng
dc.relation.ispartofIEEE Accessen
dc.subjectdeep learningen
dc.subjectlong short-term memory networksen
dc.subjectremaining useful lifeen
dc.subjectturbofan engineen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectGeneral Computer Scienceen
dc.subjectGeneral Materials Scienceen
dc.subjectGeneral Engineeringen
dc.subject.lccQA75en
dc.titleA Deep Learning Model for Remaining Useful Life Prediction of Aircraft Turbofan Engine on C-MAPSS Dataseten
dc.typeJournal articleen

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