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A feasibility study into the use of wavelet transform in partial discharge analysis.

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

Publication date09/2000
Number of pages5
<mark>Original language</mark>English
Event35th Universities’ Power Engineering Conference (UPEC2000) - Belfast, UK
Duration: 6/09/20008/09/2000


Conference35th Universities’ Power Engineering Conference (UPEC2000)
CityBelfast, UK


The objective of the paper is to seek a more effective analysis tool for partial discharge (PD) studies. The paper begins with a brief definition of wavelets and the properties of two distinctive forms of wavelet transform, i.e. continuous wavelet transform (CWT) and discrete wavelet transform (DWT). The multiresolution-based pyramidal decomposition and reconstruction algorithm is stressed. Then the general advantages of wavelet transform over the traditional Fourier transform is summarized. The physical meaning of the phase-space domain or the result of CWT and DWT is also explained. Finally, applications of wavelet transform to partial discharge studies are explored.