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

Asif, OwaisHaider, Sajjad A.L.I.Naqvi, Syed RameezZaki, John F.W.Kwak, Kyung SupIslam, S. M.Riazul2023-09-262023-09-262022-09-15Asif, 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.2022.32034062169-3536ORCID: /0000-0003-2968-9561/work/143414256https://hdl.handle.net/2164/21766Funding 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-2020R1A2B5B02002478.163476228engdeep learninglong short-term memory networksremaining useful lifeturbofan engineQA75 Electronic computers. Computer scienceGeneral Computer ScienceGeneral Materials ScienceGeneral EngineeringQA75A Deep Learning Model for Remaining Useful Life Prediction of Aircraft Turbofan Engine on C-MAPSS DatasetJournal article10.1109/ACCESS.2022.3203406http://www.scopus.com/inward/record.url?scp=85137592037&partnerID=8YFLogxK10