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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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Elsevier Ltd
2015
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| 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 |