Picture of wind turbine against blue sky

Open Access research with a real impact...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

The Energy Systems Research Unit (ESRU) within Strathclyde's Department of Mechanical and Aerospace Engineering is producing Open Access research that can help society deploy and optimise renewable energy systems, such as wind turbine technology.

Explore wind turbine research in Strathprints

Explore all of Strathclyde's Open Access research content

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.

Full text not available in this repository. (Request a copy from the Strathclyde author)

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.