Algerian Journal of Signals and Systems

Algerian Journal of Signals and Systems

Diagnosis of the Induction Machine Using Advanced Signal Processing Methods

Yazarlar: Abdelghani CHAHMI

Cilt 3 , Sayı 3 , 2018 , Sayfalar 143-150

Konular:-

DOI:10.51485/ajss.v3i3.70

Anahtar Kelimeler:Modeling,Induction Motor,Rotor Defect,Extended Kalman Filter

Özet: 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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BibTex
KOPYALA
@article{2018, title={Diagnosis of the Induction Machine Using Advanced Signal Processing Methods}, volume={3}, number={143–150}, publisher={Algerian Journal of Signals and Systems}, author={Abdelghani CHAHMI}, year={2018} }
APA
KOPYALA
Abdelghani CHAHMI. (2018). Diagnosis of the Induction Machine Using Advanced Signal Processing Methods (Vol. 3). Vol. 3. Algerian Journal of Signals and Systems.
MLA
KOPYALA
Abdelghani CHAHMI. Diagnosis of the Induction Machine Using Advanced Signal Processing Methods. no. 143–150, Algerian Journal of Signals and Systems, 2018.