Jian Shi

Signal-Driven Fault Detection in Electrical Systems via Adaptive Machine Learning

Accurate and timely detection of faults in power systems is critical for ensuring operational reliability and safety. This study proposes a machine learning based fault detection framework that utilizes statistical features extracted from voltage and current time series signals. Each sample consists of one current row...