Title :
Partial discharge signal denoising using wavelet techniques-on site measurements
Author :
Sharmila, G. ; Maheswari, R.V. ; Subburaj, P.
Author_Institution :
Nat. Eng. Coll., Kovilpatti, India
Abstract :
Partial Discharge (PD) diagnosis is the recognized method to detect defects in the insulation of power system components. However PD measurements are mostly affected by electromagnetic interferences. Wavelet is an effective tool in extracting the PD signal from noise. In this paper a new wavelet threshold determination method called multi-level wavelet decomposition is proposed to denoise the PD signal. With the implementation of this method the PD measurement sensitivity is increased. The effectiveness of this is shown by comparing signal to noise ratio (SNR) with FFT and Discrete Wavelet Transform (DWT).
Keywords :
discrete wavelet transforms; fast Fourier transforms; insulation; partial discharge measurement; power engineering computing; signal denoising; DWT; FFT; PD measurement sensitivity; SNR; discrete wavelet transform; multilevel wavelet decomposition; partial discharge diagnosis; partial discharge signal denoising; power system component insulation; signal to noise ratio; wavelet techniques-on site measurements; wavelet threshold determination method; Couplings; Discrete wavelet transforms; Ear; Noise reduction; Signal to noise ratio; Damped exponential signal (DEP); Damped oscillatory signal (DOP); Discrete wavelet transform (DWT); Partial discharges; Signal to noise ratio (SNR); Wavelet Transform (WT);
Conference_Titel :
Circuits, Power and Computing Technologies (ICCPCT), 2013 International Conference on
Conference_Location :
Nagercoil
Print_ISBN :
978-1-4673-4921-5
DOI :
10.1109/ICCPCT.2013.6528974
