Machine Learning for Predictive Maintenance: Support Vector Machines and Different Kernel Functions
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Pleiades Publishing Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Predictive maintenance relies on machine learning techniques to learn from historical data and also uses live data to analyse failure patterns. Different from conservative maintenance procedures that generally lead to resource wastage, predictive maintenance can offer optimum resource utilisation and allow predict failures before they occur. Machine learning techniques are essential for automated predictive maintenance; therefore, in this paper the use and effectiveness of support vector machines for predictive maintenance is analysed. As the results show, support vector machines achieve the best performance when linear kernel function is used.
Açıklama
Anahtar Kelimeler
Predictive Maintenance, Support Vector Machines, Kernel Functions, Confusion Matrix, Accuracy
Kaynak
Journal Of Machinery Manufacture And Reliability
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
51
Sayı
5
