Replication and Analysis of Arcing Signal Using Software-Defined Radio Techniques

Arcing signals, commonly observed in electrical systems, pose significant challenges for researchers and engineers seeking to understand their characteristics and behavior. In this research, we present a methodology for studying and replicating arcing signals using Software-defined radio (SDR) techniques. Our approach involves a step-by-step process, encompassing signal analysis, waveform programming, transmission, capture, and validation.