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A Noise Reduction Based Wavelet Denoising System for Partial Discharge Signal

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Abstract

Partial Discharge (PD) checking is a standout amongst the best technique for insulation condition evaluation of HV power system. PD releases inside a power transformer energize electromagnetic transients that can be identified utilizing sensors working in the ultra-high frequency band. Despite, on-line PD estimations are influenced by elevated amounts of electromagnetic interference that makes delicate PD identification exceptionally troublesome. In our proposed research present an approach which can reduce the noise level. Increase the quality of the PD signal. Here using an approximation logic which can reduce the complexity in terms of time and able to improve the quality. The proposed Double DWT able to get batter result as compares to existing PD techniques.

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Authors and Affiliations

  1. School of Computer Science Engineering, UESTC, Chengdu, China

    Muhammad Irfan Sharif, Jian Ping Li & Abida Sharif

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  1. Muhammad Irfan Sharif
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  2. Jian Ping Li
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  3. Abida Sharif
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Correspondence to Jian Ping Li.

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Sharif, M.I., Li, J.P. & Sharif, A. A Noise Reduction Based Wavelet Denoising System for Partial Discharge Signal. Wireless Pers Commun 108, 1329–1343 (2019). https://doi.org/10.1007/s11277-019-06471-2

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