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International Journal of Rotating Machinery
Volume 9 (2003), Issue 4, Pages 255-262
http://dx.doi.org/10.1155/S1023621X0300023X

Rotor Dynamics Analysis of Rotating Machine Systems Using Artificial Neural Networks

1Mechanical Engineering Department, Nigde University, Nigde 51100, Turkey
2Mechanical Engineering Department, Erciyes University, Kayseri, Turkey

Copyright © 2003 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Adirect-coupled rotor system was designed to analyze the dynamic behavior of rotating systems in regard to vibration parameters. The vibration parameters are amplitude, velocity, and acceleration in the vertical direction. The system consisted of a machine analyzer, shaft, disk, master-trend software, and power unit. Four different points were detected and measured by the experimental setup. The vibration parameters were found and saved from master-trend software. These parameters were employed as the desired parameters of the network. A neural network is designed for analyzing a system's vibration parameters. The results showed that the network could be used as an analyzer of such systems in experimental applications.