المقتنيات: 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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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Nguyen T.N.T., Chandan K.C., Ahmad B.A.G., Yap K.S.
مؤلفون آخرون:	54584502600
التنسيق:	Conference paper
منشور في:	2023
الموضوعات:	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
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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

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