Laboratory of Signals and Systems (LSS) Title: Diagnosis of the Induction Machine Using Advanced Signal Processing Methods Diagnosis of the Induction Machine Using Advanced Signal Processing Methods - Archive ouverte HAL
Article Dans Une Revue ALGERIAN JOURNAL OF SIGNALS AND SYSTEMS ( AJSS) Année : 2018

Laboratory of Signals and Systems (LSS) Title: Diagnosis of the Induction Machine Using Advanced Signal Processing Methods Diagnosis of the Induction Machine Using Advanced Signal Processing Methods

Résumé

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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Dates et versions

hal-01933962 , version 1 (24-11-2018)

Identifiants

  • HAL Id : hal-01933962 , version 1

Citer

Abdelghani Chahmi. Laboratory of Signals and Systems (LSS) Title: Diagnosis of the Induction Machine Using Advanced Signal Processing Methods Diagnosis of the Induction Machine Using Advanced Signal Processing Methods. ALGERIAN JOURNAL OF SIGNALS AND SYSTEMS ( AJSS), 2018, 3. ⟨hal-01933962⟩
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