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

fYear

2013

fDate

20-21 March 2013

Firstpage

673

Lastpage

678

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);

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits, Power and Computing Technologies (ICCPCT), 2013 International Conference on

Conference_Location

Nagercoil

Print_ISBN

978-1-4673-4921-5

Type

conf

DOI

10.1109/ICCPCT.2013.6528974

Filename

6528974