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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Bibliographic Details
Main Authors: Al-Geelani, Nasir Ahmed, Mohamed Piah, Mohamed Afendi, Bashir, Nouruddeen
Format: Article
Published: Elsevier Ltd 2015
Subjects:
Online Access:http://eprints.utm.my/id/eprint/57646/
http://dx.doi.org/10.1016/j.rser.2015.01.047
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Institution: Universiti Teknologi Malaysia