Identification of acoustic signals of corona discharges under different contamination levels using wavelet transform
Partial discharges (PDs) emit energy in several ways, producing electromagnetic emissions in the form of radio waves, light and heat, and acoustic emissions in the audible and ultra-sonic ranges. These emissions enable us to detect, locate, measure, and analyse PD activity in order to identify fault...
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Main Authors: | Al-geelani, N. A., Piah, M. A. M., Abdul-Malek, Z. |
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Format: | Article |
Published: |
Springer Verlag
2017
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/77205/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020060113&doi=10.1007%2fs00202-017-0568-5&partnerID=40&md5=571f887d136d69614401a937a196bfb4 |
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