Development of an Intelligent Diagnostic System for Induction Machine Health Monitoring

Author

Singh, G.K. ; Kazzaz, Sa´ad Ahmed Saleh Al

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Technol. Roorkee, Roorkee

Volume

2

Issue

2

fYear

2008

fDate

6/1/2008 12:00:00 AM

Firstpage

273

Lastpage

288

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.

Keywords

asynchronous machines; backpropagation; condition monitoring; electric machine analysis computing; fault diagnosis; feedforward neural nets; knowledge based systems; C program; Matlab program; artificial neural network; back propagation algorithm; induction machine health monitoring; intelligent algorithm; intelligent machine diagnostic system development; multilayer feed-forward neural network; Artificial intelligence; Artificial neural networks; Condition monitoring; Feedforward systems; Induction machines; Intelligent networks; Intelligent systems; Machine intelligence; Multi-layer neural network; Neural networks; Artificial neural network (ANN); condition monitoring; diagnosis; fault; fuzzy logic; induction machine; signal processing; vibration; wavelet transform;

fLanguage

English

Journal_Title

Systems Journal, IEEE

Publisher

ieee

ISSN

1932-8184

Type

jour

DOI

10.1109/JSYST.2008.924129

Filename

4550589