Diagnosis of the Induction Machine Using Advanced Signal Processing Methods

Authors

  • Abdelghani CHAHMI Electrical Drives Laboratory, University of Sciences and Technology, Oran, Algeria

DOI:

https://doi.org/10.51485/ajss.v3i3.70

Keywords:

Modeling, Induction Motor, Rotor Defect, Extended Kalman Filter

Abstract

This work is a part of the thematic of monitoring and fault diagnosis of the squirrel cage three-phase induction machine. The choice of this type of machine is justified by the growing success it has exhibited, mainly, in the electric drives with variable speed. Signal based detection methods are presented is validated in simulation. The proposed diagnosis approach requires only little experimental data, and more importantly it provides efficient simulation tools that allow characterizing faulty behavior.In this study, the proposed approach considers the value of rotor resistance as fixed for condition monitoring. This value in the diagnostic tools which one uses is not fixed contrary to the classical approaches of control of machine.

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Published

2018-09-15

How to Cite

[1]
CHAHMI, A. 2018. Diagnosis of the Induction Machine Using Advanced Signal Processing Methods. Algerian Journal of Signals and Systems . 3, 3 (Sep. 2018), 143-150. DOI:https://doi.org/10.51485/ajss.v3i3.70.

Issue

Section

Articles