Title :
Denoising UHF signal for PD detection in transformers based on wavelet technique
Author :
Yang, L. ; Judd, M.D. ; Bennoch, C.J.
Author_Institution :
Inst. for Energy & Environ., Strathclyde Univ., Glasgow, UK
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.
Keywords :
discrete wavelet transforms; partial discharge measurement; power transformer testing; signal denoising; thermal noise; UHF signal denoising; communication noises; detection system thermal noise; discrete wavelet transforms; partial discharge detection; partial discharge location; periodic pulse-shaped noise; power transformers; thyristor operation noise; Frequency; Noise measurement; Noise reduction; Noise shaping; Partial discharges; Signal detection; Signal processing; Transformers; Wavelet analysis; Working environment noise;
Conference_Titel :
Electrical Insulation and Dielectric Phenomena, 2004. CEIDP '04. 2004 Annual Report Conference on
Print_ISBN :
0-7803-8584-5
DOI :
10.1109/CEIDP.2004.1364215