KESTİRİMCİ BAKIMDA MAKİNE ÖĞRENMESİ: LİTERATÜR ARAŞTIRMASI

Yıl 2021, Cilt: 29 Sayı: 2, 256 - 276, 31.08.2021

Damla Rana Dündar , İnci Sarıçiçek , Eyüp Çinar , Ahmet Yazici

https://doi.org/10.31796/ogummf.873963

Cited By: 5

Öz

Endüstriyel sistemlerdeki makine arızalarını önleyerek üretimde oluşabilecek kesintilerden kaçınmak ve ilgili maliyetleri azaltmak etkin bir bakım yönetimi ile mümkündür. Etkin bakım yönetimi önleyici, düzeltici ve kestirimci bakım stratejilerinin yönetilmesi faaliyetlerini içermektedir. Son yıllarda, bilgisayar ve iletişim teknolojisindeki gelişmelerle kestirimci bakım stratejisi işletmeler için önem kazanmıştır. Kestirimci bakım kapsamında yapay zekâ teknikleri kullanılmaya ve geliştirilmeye başlamıştır. Bu çalışma, makine öğrenmesi (ML - machine learning) algoritmalarına dayalı kestirimci bakım (PdM - predictive maintenance) ile ilgili literatürdeki çalışmaların bir incelemesidir. İncelenen çalışmalar kullanılan makine öğrenmesi algoritmaları ve çalışmaların gerçekleştirildiği endüstri / ekipman kapsamında analiz edilmiştir. Literatürde kestirimci bakımda makine öğrenmesi algoritmalarını kullanan çalışmaları derleyen ve analiz eden bir çalışma bulunmadığından yapılan bu literatür çalışması ilgili konuda çalışacak araştırmacılara yol gösterecektir.

Anahtar Kelimeler

Kestirimci Bakım, Makine Öğrenmesi, Derin Öğrenme

Destekleyen Kurum

TÜBİTAK

Proje Numarası

118C252

Teşekkür

Bu yayın TÜBİTAK 2232 Uluslararası Lider Araştırmacılar Programından (Proje No 118C252) yararlanılarak oluşturulmuştur. Ancak yayın ile ilgili tüm sorumluluk yayının sahibine aittir. TÜBİTAK’tan alınan maddi destek, yayının içeriğinin bilimsel anlamda TÜBİTAK tarafından onaylandığı anlamına gelmez.

Kaynakça

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