Hyungpyo Kim

Conceptual Design and Preliminary Embedded Applicability Evaluation of an AI-Based Predictive Maintenance Residual Current Device Using Time-Series Analysis of Leakage Current

This study proposes a conceptual AI-based predictive maintenance architecture for residual current devices (RCDs) using time-series analysis of leakage current and evaluates the preliminary embedded applicability of deep learning models. Leakage current data were collected at 1 s...