Design of artificial neural networks for rotor dynamics analysis of rotating machine systems
Küçük Resim Yok
Tarih
2005
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
A Neural Network predictor investigation is presented for analyzing vibration parameters of the rotating system. The vibration parameters of the system such as amplitude, velocity and acceleration in vertical direction were measured at the bearing points. The system's vibration and noise were analyzed for different working conditions. The designed neural predictor has three layers which are input, hidden and output layers. In the hidden layer 10 neurons were used for this approximation. The results showed that the network would be used as analyzer of such systems in experimental applications. © 2005 Elsevier Ltd. All rights reserved.
Açıklama
Anahtar Kelimeler
Experimental setup, Neural network, Shaft vibration
Kaynak
Mechatronics
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
15
Sayı
5
