Measurement and Denoising of Partial Discharge Signal in High Voltage Cables using Wavelet Transform
S. Madhupriya1, R. V. Maheswari2, B. Vigneshwaran3
1S. Madhupriya, Department of EEE, National Engineering College, Kovilpatti (Tamil Nadu) India.
2Dr. R. V. Maheswari, Professor, Department of EEE, National Engineering College, Kovilpatti (Tamil Nadu) India.
3Mr. B. Vigneshwaran, Assistant Professor, Department of EEE, National Engineering College, Kovilpatti (Tamil Nadu) India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 2461-2468 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B3991129219/2019©BEIESP | DOI: 10.35940/ijeat.B3991.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A huge amount of exploration propagated over the past decade investigates the characterization of Partial Discharge (PD) inception in cable ideology. Underground cables are passed down as surrogate for over hauling in congested areas. The intention of this research is to examine the feasibility of exploring insulation defects present in High Voltage (HV) Cable setup by employing PD disclosure under alternating current (AC) Voltage. Study of PD characteristics has a congregate of predictable distinguished contraption to prove the probity and the affirmation of electrical insulation of Power System. In this work, the cable is exposed into the measurement of PD signal under artificially conceived defects. PD signal parameters are mainly depends on the size of void and applied voltage. In general, the measured PD signal is depraved with interferences. To identify the exact characteristics of PD distinctive and its severity, the PD signal is subjected to Wavelet Transform (WT) for denoising. Different types of WT families with various level is used for de-noising. To identify the effectiveness of the WT for de-noising guidelines like Signal to Reconstruction Error Ratio (SRER) and Reduction in Noise Level (RNL) are used.
Keywords: Partial discharge, Wavelet transform, Signal to Reconstruction Error Ratio (SRER) and Reduction in Noise Level (RNL)