<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

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

Instituto Universitario de Matemática Pura y Aplicada

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

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...

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

Online veröffentlicht: 31. März 2020

Seitenbereich: 1 - 14

Eingereicht: 04. Sept. 2019

Akzeptiert: 30. Sept. 2019

DOI: https://doi.org/10.2478/amns.2020.1.00032

Schlüsselwörter
Cumulants, Higher-Order Spectra, Stray Flux, Faults Diagnosis

© 2020 Miguel E. Iglesias Martínez et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Online veröffentlicht: 31. März 2020

Seitenbereich: 1 - 14

Eingereicht: 04. Sept. 2019

Akzeptiert: 30. Sept. 2019

DOI: https://doi.org/10.2478/amns.2020.1.00032

SchlüsselwörterCumulants, Higher-Order Spectra, Stray Flux, Faults Diagnosis

© 2020 Miguel E. Iglesias Martínez et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Cumulants, Higher-Order Spectra, Stray Flux, Faults Diagnosis