Application of higher order spectral analysis for rotor broken bar detection in induction machines

Author

Saidi, Lotfi ; Henao, Humberto ; Fnaiech, Farhat ; Capolino, Gérard-André ; Cirrincione, Giansalvo

Author_Institution

ESSTT/SICISI, Univ. of Tunis, Tunis, Tunisia

fYear

2011

fDate

5-8 Sept. 2011

Firstpage

31

Lastpage

38

Abstract

Detection and identification of induction machine faults through the stator current signal using higher order spectra analysis is presented. This paper proposes two higher order spectra techniques, namely the power spectrum and the slices of bi-spectrum used for the analysis of induction machine stator current leading to the detection of electrical failures within the rotor. Experimental signals have been analyzed highlighting that bi-spectrum results show their superiority in the accurate detection of rotor broken bars. Even when the induction machine is rotating at a low level of shaft load, the rotor fault detection is efficient.

Keywords

asynchronous machines; fault diagnosis; rotors; shafts; spectral analysis; electrical failure; higher order spectral analysis; induction machine fault detection; induction machine fault identification; power spectrum; rotor broken bar detection; rotor fault detection; stator current signal; Bars; Circuit faults; Indexes; Rotors; Shafts; Stator windings; Broken rotor bars; Fourier transform; bi-spectrum; fault detection; higher order spectra; induction motor; motor current signature analysis; spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Diagnostics for Electric Machines, Power Electronics & Drives (SDEMPED), 2011 IEEE International Symposium on

Conference_Location

Bologna

Print_ISBN

978-1-4244-9301-2

Electronic_ISBN

978-1-4244-9302-9

Type

conf

DOI

10.1109/DEMPED.2011.6063598

Filename

6063598