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The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including those from the School of Psychological Sciences & Health - but also papers by researchers based within the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

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Denoising UHF signal for PD detection in transformers based on wavelet technique

Yang, L. and Judd, M.D. and Bennoch, C.J. (2004) Denoising UHF signal for PD detection in transformers based on wavelet technique. In: 2004 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, 2004. CEIDP '04., 2004-10-17 - 2004-10-20.

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Abstract

Although the UHF technique is immune from electrical interference; communication noises, thermal noise from the detection system, and periodic pulse-shaped noise from thyristor operation are usually found in the UHF signal. In this paper, a method based on discrete wavelet transforms is introduced. Three steps in the de-noising process are studied and discussed. Hundreds of combinations involved in the process are compared. An artificial signal is created by mixing the specific noise with a 'clean' UHF signal. The optimal process and corresponding parameters are defined by comparing the 'clean' signal and the de-noised version of the artificial signal.