NISCAIR Online Periodicals Repository

Research Journals >
Journal of Scientific and Industrial Research (JSIR) >
JSIR Vol.64 [2005] >
JSIR Vol.64(06) [June 2005] >

Title: Design of artificial neural networks for rotor dynamics analysis of rotating machine systems
Authors: Taplak, Hamdi
Uzmay, Ibrahim
Yıldırım, Sahin
Keywords: Neural network
Shaft vibration
Rotor dynamic
Artificial neural network
Rotating machine system
Issue Date: Jun-2005
Publisher: CSIR
IPC CodeG 06 N 3/02
Abstract: A neural network predictor is designed for analyzing vibration parameters of the rotating system. The vibration parameters (amplitude, velocity, acceleration in vertical direction) are measured at the bearing points. The system’s vibration and noise are analyzed with and without load. The designed neural predictor has three (input, hidden, output) layers. In the hidden layer, 10 neurons are used for approximation. The results show that the network is useful as an analyzer of such systems in experimental applications. The neural networks are validated for reduced test data with unknown faults.
Page(s): 411-419
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Source:JSIR Vol.64(06) [June 2005]

Files in This Item:

File Description SizeFormat
JSIR 64(6) 411-419.pdf433.47 kBAdobe PDFView/Open
 Current Page Visits: 145 
Recommend this item


Online Submission of Articles |  NISCAIR Website |  National Knowledge Resources Consortium |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2015 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 163339 since 01-Sep-2015  Last updated on 21-Jun-2016Webmaster: