An integration of neural network and shuffled frog-leaping algorithm for CNC machining monitoring

Basit Öğe Kaydı
dc.authoridErfan Babaee Tirkolaee / 0000-0003-1664-9210
dc.authorscopusidErfan Babaee Tirkolaee / 57196032874
dc.authorwosidErfan Babaee Tirkolaee / U-3676-2017
dc.contributor.authorGoli, Alireza
dc.contributor.authorTirkolaee, Erfan Babaee
dc.contributor.authorWeber, Gerhard Wilhelm
dc.date.accessioned2021-03-22T12:09:55Z
dc.date.available2021-03-22T12:09:55Z
dc.date.issued2021en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractThis paper addresses Acoustic Emission (AE) from Computer Numerical Control (CNC) machining operations. Experimental measurements are performed on the CNC lathe sensors to provide the power consumption data. To this end, a hybrid methodology based on the integration of an Artificial Neural Network (ANN) and a Shuffled Frog-Leaping Algorithm (SFLA) is applied to the data resulting from these measurements for data fusion from the sensors which is called SFLA-ANN. The initial weights of ANN are selected using SFLA. The goal is to assess the potency of the signal periodic component among these sensors. The efficiency of the proposed SFLA-ANN method is analyzed compared to hybrid methodologies of Simulated Annealing (SA) algorithm and ANN (SA-ANN) and Genetic Algorithm (GA) and ANN (GA-ANN).en_US
dc.identifier.citationGoli, A., Tirkolaee, E. B., & Weber, G. W. (2021). An Integration of Neural Network and Shuffled Frog-Leaping Algorithm for CNC Machining Monitoring. Foundations of Computing and Decision Sciences, 46(1), 27-42.en_US
dc.identifier.doi10.2478/fcds-2021-0003en_US
dc.identifier.endpage42en_US
dc.identifier.issn0867-6356en_US
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85102559472en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage27en_US
dc.identifier.urihttps://doi.org/10.2478/fcds-2021-0003
dc.identifier.urihttps://hdl.handle.net/20.500.12713/1624
dc.identifier.volume46en_US
dc.identifier.wosWOS:000626159100003en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorTirkolaee, Erfan Babaee
dc.language.isoenen_US
dc.publisherSciendoen_US
dc.relation.ispartofFoundations of Computing and Decision Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial Neural Networken_US
dc.subjectCNC Machining; Multi-Sensor Data Fusionen_US
dc.subjectGenetic Algorithmen_US
dc.subjectShuffled Frog-Leaping Algorithmen_US
dc.subjectSimulated Annealingen_US
dc.titleAn integration of neural network and shuffled frog-leaping algorithm for CNC machining monitoringen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
Ä°sim:
20.pdf
Boyut:
896.28 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
Ä°ndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
Ä°sim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
Ä°ndir

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu
Endüstri Mühendisliği Bölümü Makale Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu