Skip navigation
Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7279
Title: Development of an Intelligent Diagnostic System for Induction Machine Health Monitoring
Authors: Singh, Girish Kumar
Ahmed Saleh Al Kazzaz S.
Published in: IEEE Systems Journal
Abstract: In this paper, the development of an intelligent diagnostic system for induction machine health monitoring has been presented. The idea behind the artificial neural network and its application for machine diagnostic is described briefly. The general condition of intelligent system design based on neural network is discussed. The results of using developed intelligent algorithm for efficient and accurate identification of machine health are demonstrated. C++ and MATLAB programs have been used for the development of the intelligent algorithm (multi-layer feed-forward neural network with back propagation algorithm) for machine diagnostic and monitoring. © 2008, IEEE. All rights reserved.
Citation: IEEE Systems Journal (2008), 2(2): 273-288
URI: https://doi.org/10.1109/JSYST.2008.924129
http://repository.iitr.ac.in/handle/123456789/7279
Issue Date: 2008
Keywords: Artificial neural network (ANN)
condition monitoring
diagnosis
fault
fuzzy logic
induction machine
signal processing
vibration
wavelet transform
ISSN: 19328184
Author Scopus IDs: 57193351909
57192787845
Author Affiliations: Singh, G.K., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, India
Ahmed Saleh Al Kazzaz, S., Department of Electrical Engineering, University of Mosul, Mosul, Iraq
Appears in Collections:Journal Publications [EE]

Files in This Item:
There are no files associated with this item.
Show full item record


Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.