Detection of surface anomalites on electric motors based on visual deep learning methods

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dc.authorscopusid58070535000
dc.authorscopusid55780618800
dc.contributor.authorGozukirmizi,A.S.
dc.contributor.authorKivanc,O.C.
dc.date.accessioned2024-05-25T12:34:30Z
dc.date.available2024-05-25T12:34:30Z
dc.date.issued2022
dc.departmentOkan Universityen_US
dc.department-tempGozukirmizi A.S., Istanbul Okan University, Department of Electric and Electronic Engineering, Istanbul, Turkey; Kivanc O.C., Istanbul Okan University, Department of Electric and Electronic Engineering, Istanbul, Turkeyen_US
dc.descriptionBatman University and Batman Energy Coordination Center (EKOM)en_US
dc.description.abstractAutomotive industry is one of the most advanced industry among others due to the fact that engineering challenges, number of processes and other difficulties. Every component, electrical and mechanical parts produced must pass quality and performance tests in order to be assembled. For this inspection and test purpose, global brands (tier-one) and its related companies(tier-two) invest lots of industrial automation equipment to standardize production quality and minimize risks which can damage brand value, economical states and human safety. In addition to that digitalization and growing number of automation systems are core features of Industry 4.0 concept which is a global trend and automotive is leading industry. All of mentioned inspection tasks are essential for all automotive industry including sub-industries, especially in electric cars are increasing trend and will become dominant against fuel vehicles in next 10 years. © 2022 IEEE.en_US
dc.identifier.citation1
dc.identifier.doi10.1109/GEC55014.2022.9986676
dc.identifier.endpage216en_US
dc.identifier.isbn978-166549751-0
dc.identifier.scopus2-s2.0-85146488193
dc.identifier.startpage208en_US
dc.identifier.urihttps://doi.org/10.1109/GEC55014.2022.9986676
dc.identifier.urihttps://hdl.handle.net/20.500.14517/2589
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE Global Energy Conference, GEC 2022 -- 2022 IEEE Global Energy Conference, GEC 2022 -- 26 October 2022 through 29 October 2022 -- Batman -- 185674en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectdeep learningen_US
dc.subjectelectric car component inspectionen_US
dc.subjectmachine visionen_US
dc.subjectmetallic surface inspectionen_US
dc.subjectrobot visionen_US
dc.subjecttransfer learningen_US
dc.titleDetection of surface anomalites on electric motors based on visual deep learning methodsen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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