Remaining Useful Life Estimation with Parallel Convolutional Neural Networks on Predictive Maintenance Applications

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dc.authorid0000-0002-1529-8765en_US
dc.contributor.authorAvcı, Adem
dc.contributor.authorAcır, Nurettin
dc.date.accessioned2021-03-20T20:26:51Z
dc.date.available2021-03-20T20:26:51Z
dc.date.issued2020
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description28th Signal Processing and Communications Applications Conference, SIU 2020 -- 5 October 2020 through 7 October 2020 -- -- 166413en_US
dc.description.abstractMaintenance work in the industry is performed as failure based corrective maintenance and calendar based preventive maintenance strategies. These strategies cannot meet the demands of the industry in terms of maintenance costs and production efficiency. Data-based predictive maintenance strategy aim at efficiency in production and optimum point in maintenance works. This study is based on Remaining Useful Life, which is the basis of the predictive maintenance strategy. The data used in the study is the dataset of aircraft engines. The data received from many sensors of the running motor are fixed by sliding window. A new approach has been introduced in the estimation of Remaining Useful Life with the proposed Parallel Convolutional Neural Network. By defining a problem-specific asymmetric cost function, better results have been obtained in terms of sensitivity. © 2020 IEEE.en_US
dc.identifier.doi10.1109/SIU49456.2020.9302284en_US
dc.identifier.isbn9781728172064
dc.identifier.scopus2-s2.0-85100312694en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttp://doi.org/10.1109/SIU49456.2020.9302284
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1291
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAvcı, Adem
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectConvolutional Neural Networken_US
dc.subjectPredictive Maintenanceen_US
dc.subjectRemaining Useful Lifeen_US
dc.titleRemaining Useful Life Estimation with Parallel Convolutional Neural Networks on Predictive Maintenance Applicationsen_US
dc.title.alternativeKestirimci Bakim Uygulamalarinda Paralel Evrisimsel Sinir Agi Modeli Ile Kalan Faydali Omur Tahminien_US
dc.typeConference Objecten_US

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Scopus İndeksli Yayınlar Koleksiyonu
Elektrik Elektronik Mühendisliği Bölümü Yayın Koleksiyonu
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