A review on hybrid wavelet regrouping particle swarm optimization neural networks for characterization of partial discharge acoustic signals
Partial discharges (PD) emit energy in several ways and in the process, electro-magnetic emissions in the form of radio waves, light and heat, audible and ultra-sonic acoustic emissions are produced. These emissions enable the detection, location, measurement and analysis of the PD activity. PD acti...
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| Pengarang-pengarang Utama: | , , |
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| Format: | Artikel |
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Elsevier Ltd
2015
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| Capaian Atas Talian: | http://eprints.utm.my/57646/ http://eprints.utm.my/57646/ http://eprints.utm.my/57646/ |
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