Design of artificial neural networks for rotor dynamics analysis of rotating machine systems

Küçük Resim Yok

Tarih

2005

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

Künye