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- W4200306677 abstract "This paper suggests a new method for detecting and diagnosing bearing faults in three-phase asynchronous devices using the periodogram estimation of the Power Spectral Density of the three-phase electrical current space vector. Rather than a single single-phase spectral analysis or a space vector component spectral analysis using the classic Fourier Transform, The Quaternion Fourier Transform was used to do a full spectral analysis of the three-phase currents scheme. Spectral indicators are given from the Quaternion Power Spectral Density and their use suggested for accurate detection and diagnosis of bearing faults via the quaternion's formalism. To validate this approach, the proposed indicators were compared to fault indicators derived from a single-phase or inferred from the real and imaginary parts of the currents space vector. The results reveal that two of the new metrics outperform the classic ones derived from either single-phase spectral analysis or the three-phase space vector components spectral analysis (classification rates of 94.2 percent and 93.8 percent, respectively). These findings support the preference for three-phase approaches over single-phase approaches, as well as the ability to extend classical research methods developed for single-phase systems to three-phase systems using the Quaternion Fourier transform." @default.
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- W4200306677 date "2022-04-01" @default.
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- W4200306677 title "Quaternion Fourier Transform spectral analysis of electrical currents for bearing faults detection and diagnosis" @default.
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- W4200306677 doi "https://doi.org/10.1016/j.ymssp.2021.108656" @default.
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