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

• Main Authors: Nguyen T.N.T., Chandan K.C., Ahmad B.A.G., Yap K.S.
• Other Authors: 54584502600
• Format: Conference paper
• Published: 2023
• Subjects: 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
• Institution: Universiti Tenaga Nasional

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...