Title :
Wavelet-based partial discharge signal analysis in GIS
Author :
Sagar, S. Raghunath ; Amarnath, J. ; Narasimham, S. V L
Author_Institution :
Sir CRR Coll. of Eng., Eluru
Abstract :
Gas insulated substations (GIS) are finding wide use on account of environmental and operational advantages. Faults undermining reliability in a GIS can be analyzed by detecting and locating partial discharges (PD) arising in GIS. These PD pulses in GIS, however, are extremely small and prone to noise corruption. To remove noise effectively wavelet transform (WT) based methods are better suited than Fourier transform (FT) methods, as they analyze the signals in time-scale domain. In this paper, the optimal choice of wavelet in applying multi resolution analysis (MRA) of PD signals is presented. The correlation coefficient among wavelets and the PD signals as well as the signal-to-noise ratio are used for deciding the optimal wavelet In applying MRA, it is shown that the denoising procedure can be further refined in choosing the right wavelet from among the same wavelet family.
Keywords :
correlation methods; gas insulated substations; partial discharge measurement; signal denoising; signal detection; wavelet transforms; GIS; correlation coefficient; gas insulated substations; multiresolution analysis; noise corruption; partial discharge signal analysis; reliability; signal-to-noise ratio; time-scale domain; wavelet transform based methods; Fault detection; Fourier transforms; Gas insulation; Geographic Information Systems; Multiresolution analysis; Partial discharges; Signal analysis; Substations; Wavelet analysis; Working environment noise; De noise; UHF PD pulse; correlation coefficient; optimal wavelet transform;
Conference_Titel :
Electrical Insulation and Dielectric Phenomena, 2007. CEIDP 2007. Annual Report - Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1482-6
Electronic_ISBN :
978-1-4244-1482-6
DOI :
10.1109/CEIDP.2007.4451645
