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Random Forest-Based Early Fault Detection and Classification in DC-DC Converters Using Multi-Sensor Electrical and Thermal Features
Intelligent condition monitoring of Direct Current (DC) to DC converters requires fault detection that is accurate, reproducible and early enough to act before conventional protection trips. This paper presents a Random Forest (RF) framework that fuses output-voltage, inductor-current and heatsink-temperature measureme...