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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.
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1 Departamento de Telecomunicaciones, Universidad de Pinar del Río, Pinar del Río, Martí 270, CP20100, Cuba; Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, E46022València, Spain
2 Instituto de Tecnología Eléctrica, Universitat Politècnica de València, E46022ValènciaSpain
3 Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, E46022València, Spain