UHF Partial Discharge Signal Recovery Method Based on Compressive Sensing

The ultra-high frequency (UHF) signal based partial discharge localization method has not been widely used in substations due to the difficulty in signal sampling. The frequency range of partial discharge UHF signal is from 300MHz to 3GHz, which has exceeded the sampling range of most synchronous mu...

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Bibliographic Details
Published in2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) pp. 801 - 804
Main Authors Gao, Qiang, Liu, Qi, Guo, Zhannan, Zhou, Nan, Li, Zhen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2019
Subjects
Compressed sensing
compressive sensing
Matching pursuit algorithms
nyquist Rate
Partial Discharge
Partial discharges
Sensors
Signal reconstruction
Signal sampling
Sparse matrices
ultra-high frequency
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Summary:The ultra-high frequency (UHF) signal based partial discharge localization method has not been widely used in substations due to the difficulty in signal sampling. The frequency range of partial discharge UHF signal is from 300MHz to 3GHz, which has exceeded the sampling range of most synchronous multi-channel sampling devices. In this paper, a novel partial discharge UHF signal sampling method based on compressive is proposed. The random Gaussian matrix is used as the measurement matrix and the Orthogonal Matching Pursuit (OMP) algorithm is used as the signal reconstruction algorithm. The sparse partial discharge signal is captured and represented at a rate significantly below the Nyquist rate. Simulation tests and field tests have verified the feasibility of the proposed method. The sampling frequency of the UHF partial discharge signal is reduced from 2.5GS/s to 550MS/s in simulation tests and is reduced from 4GS/s to 800MS/s in field tests.
DOI:10.1109/SDPC.2019.00152