A New Method for Partial Discharge Signal Processing

Hui Qi Li; Kai Hong Wang

doi:10.4028/www.scientific.net/AMR.1070-1072.1163

Paper Titles

Comparison of Application of SVC and STATCOM on Suppressing Subsynchronous Oscillation
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Problem Analysis and Solutions in Transformer Field Verification
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Characteristic Analysis of Ship Transformer Magnetizing Inrush Current and its Suppression Method
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Calculation of Electric Field under Overhead Lines with a Human Body Existing
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A New Method for Partial Discharge Signal Processing
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Influence of Corona Discharge on SAW Temperature Measurement System
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Software Design and Implementation of Measuring System of Transmission Lines Based on Wireless Communication
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Calculation and Optimization of Cable Connector Electric Field Intensity in High Speed Rail Based on Finite Element
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Analysis of Sound Insulation of Substation Barrier
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1070-1072A New Method for Partial Discharge Signal...

A New Method for Partial Discharge Signal Processing

Abstract:

A partial discharge (PD) signal processing method based on dynamic measurement theory and wavelet transform is proposed in this paper. The deterministic component was separated by polynomial fitting, and the random component of the remaining residual after the separation was estimated using autoregressive (AR) model; The true value estimate and dynamic measurement uncertainty of noisy signal were obtained by the deterministic component and random component;Db8 wavelet and the soft threshold based on Stein’s Unbiased Estimate of Risk were used to smoothly denoise for better PD signal processing. Finally, the effectiveness of the method was verified by MATLAB simulation and experimental noisy PD signal extraction.

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Periodical:

Advanced Materials Research (Volumes 1070-1072)

Pages:

1163-1166

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1070-1072.1163

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Online since:

December 2014

Authors:

Hui Qi Li, Kai Hong Wang

Keywords:

Dynamic Measurement, Fitting, MATLAB, Partial Discharge (PD), Wavelet Transform (WT)

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References

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