Characterization of acoustic signals due to surface discharges on H.V. Glass insulators using wavelet radial basis function neural networks
A hybrid model incorporating wavelet and radial basis function neural network is presented which is used to detect, identify and characterize the acoustic signals due to surface discharge activity and hence differentiate abnormal operating conditions from the normal ones. The tests were carried out...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/46683/1/N.A.Al-Geelani_2012_Characterization%20of%20acoustic%20signals%20due%20to%20surface%20discharges%20on%20H.V.%20Glass.pdf http://eprints.utm.my/id/eprint/46683/ https://dx.doi.org/10.1016/j.asoc.2011.12.018 |
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