2016 IEEE International Conference on Electro Information Technology (EIT) 2016
DOI: 10.1109/eit.2016.7535276
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Zero-crossing analysis of Lévy walks for real-time feature extraction

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Cited by 3 publications
(1 citation statement)
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“…Ukil et al presented a feature extraction method of current ZC moment to detect short-circuit fault of stator winding of series asynchronous induction motors [31]. Gonzalez and Kinsner showed that ZC could be used to identify different parts of the composite signal, and the advantage of the ZC computing immediately in the time domain is attractive to real time implementation [32]. Waghmare et al presented a methodology based on piecewise energy and corresponding mean of signal ZC in environmental noise, which has a broad application prospect in dealing with the underwater target-radiated noise [33].…”
Section: Introductionmentioning
confidence: 99%
“…Ukil et al presented a feature extraction method of current ZC moment to detect short-circuit fault of stator winding of series asynchronous induction motors [31]. Gonzalez and Kinsner showed that ZC could be used to identify different parts of the composite signal, and the advantage of the ZC computing immediately in the time domain is attractive to real time implementation [32]. Waghmare et al presented a methodology based on piecewise energy and corresponding mean of signal ZC in environmental noise, which has a broad application prospect in dealing with the underwater target-radiated noise [33].…”
Section: Introductionmentioning
confidence: 99%