Identification of acoustic signals of corona discharges under different contamination levels using wavelet transform

• Main Authors: Al-geelani, N. A., Piah, M. A. M., Abdul-Malek, Z.
• Format: Article
• Published: Springer Verlag 2017
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• 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

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...