Neurovision-based logic control of an experimental manufacturing plant using neural net le-net5 and automation Petri nets

Basit Öğe Kaydı
dc.authorid0000-0001-9625-5523
dc.authorid0000-0001-6420-7586
dc.contributor.authorKarlik, B
dc.contributor.authorUzam, M
dc.contributor.authorCinsdikici, M
dc.contributor.authorJones, AH
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2005
dc.departmentNiğde ÖHÜ
dc.description.abstractIn this paper, Petri nets and neural networks are used together in the development of an intelligent logic controller for an experimental manufacturing plant to provide the flexibility and intelligence required from this type of dynamic systems. In the experimental setup, among deformed and good parts to be processed, there are four different part types to be recognised and selected. To distinguish the correct part types, a convolutional neural net le-net5 based on-line image recognition system is established. Then, the necessary information to be used within the logic control system is produced by this on-line image recognition system. Using the information about the correct part types and Automation Petri nets, a logic control system is designed. To convert the resulting Automation Petri net model of the controller into the related ladder logic diagram (LLD), the token passing logic (TPL) method is used. Finally, the implementation of the control logic as an LDD for the real time control of the manufacturing system is accomplished by using a commercial programmable logic controller (PLC).
dc.identifier.doi10.1007/s10845-005-1662-5
dc.identifier.endpage548
dc.identifier.issn0956-5515
dc.identifier.issn1572-8145
dc.identifier.issue45416
dc.identifier.scopus2-s2.0-23044477182
dc.identifier.scopusqualityQ1
dc.identifier.startpage527
dc.identifier.urihttps://dx.doi.org/10.1007/s10845-005-1662-5
dc.identifier.urihttps://hdl.handle.net/11480/5571
dc.identifier.volume16
dc.identifier.wosWOS:000230723800010
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherSPRINGER
dc.relation.ispartofJOURNAL OF INTELLIGENT MANUFACTURING
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectimage recognition
dc.subjectneural networks
dc.subjectmanufacturing plant control
dc.subjectPetri nets
dc.subjectladder logic diagrams
dc.subjectprogrammable logic controller
dc.titleNeurovision-based logic control of an experimental manufacturing plant using neural net le-net5 and automation Petri nets
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu