Higher-Order Spectral Analysis of Stray Flux Signals for Faults Detection in Induction Motors

This work is a review of current trends in the stray flux signal processing techniques applied to the diagnosis of electrical machines. Initially, a review of the most commonly used standard methods is performed in the diagnosis of failures in induction machines and using stray flux; and then specif...

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Published inApplied mathematics and nonlinear sciences Vol. 5; no. 2; pp. 1 - 14
Main Authors Iglesias Martínez, Miguel E., Antonino-Daviu, Jose A., de Córdoba, Pedro Fernández, Conejero, J. Alberto
Format Journal Article
LanguageEnglish
Published Beirut Sciendo 01.07.2020
De Gruyter Poland
Subjects
60G35
60K30
Cumulants
Faults Diagnosis
Higher-Order Spectra
Stray Flux
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Summary:This work is a review of current trends in the stray flux signal processing techniques applied to the diagnosis of electrical machines. Initially, a review of the most commonly used standard methods is performed in the diagnosis of failures in induction machines and using stray flux; and then specifically it is treated and performed the algorithms based on statistical analysis using cumulants and polyspectra. In addition, the theoretical foundations of the analyzed algorithms and examples applications are shown from the practical point of view where the benefits that processing can have using HOSA and its relationship with stray flux signal analysis, are illustrated.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2444-8656
2444-8656
DOI:10.2478/amns.2020.1.00032