The Application of Coupled Three Order Cumulants' Differential Feature in Fault Diagnosis

Wu, Wenbing; Xiong, Jinquan

doi:10.1109/icvrv.2017.00085

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2020

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“…Furthermore, failure detection methods based on higher-order statistical analysis have been applied to vibration signals, by considering the information provided by cumulants and moments of orders greater than or equal to two, as well as the spatial information that extracted from the analysis of higher-order spectra such as the bispectrum [29,30,33,34,50,63,66]. In addition to statistical estimators such as variance, kurtosis and skewness, derived from the cumulants of second, third, and fourth orders respectively are performed.…”

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confidence: 99%

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

Martínez

Antonino-Daviu

Córdoba

et al. 2020

Applied Mathematics and Nonlinear Sciences

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AbstractThis 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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