所蔵: FPGA implementation of neural network classifier for partial discharge time resolved data from magnetic probe

FPGA implementation of neural network classifier for partial discharge time resolved data from magnetic probe

Partial discharge (PD) is a common reason that causes electrical breakdown in high voltage underground XLPE cables. This paper proposes a concept of how to build an on-line, on-site system that is able to diagnose the severity of PD activities in XLPE cable as well as differentiate different types o...

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書誌詳細
主要な著者:	Nguyen T.N.T., Chandan K.C., Ahmad B.A.G., Yap K.S.
その他の著者:	54584502600
フォーマット:	Conference paper
出版事項:	2023
主題:	FPGA magnetic probes neural network partial discharge statistical method wavelet transform Field programmable gate arrays (FPGA) Low noise amplifiers Neural networks Personal computers Probes Statistical methods Underground cables Wavelet transforms Analog to digital converters Discharge time Electrical breakdown FPGA implementations High voltage Input signal Magnetic probes Neural network classifier Onsite systems Time-resolved Wave forms XLPE cables Partial discharges
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FPGA implementation of neural network classifier for partial discharge time resolved data from magnetic probe

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