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] |
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