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Author

I. Baranilingesan

2 papers indexed here

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Open access Sep 2026

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...

I. Baranilingesan, Mallula Vijaya Krishna, Hareesh Sita et al. · 0 citations
Conference Aug 2026

Digital Twin and AI-Based Fault Diagnosis of Power Electronic Converters for Smart Grid Applications

Power electronic converters form the backbone of renewable energy integration, electric mobility, energy storage and flexible smart-grid operation; however, converter switching devices, sensors, capacitors, and control circuits remain vulnerable to electrical and thermal faults. This paper proposes a framework for moni...

G. Sivaprasad, S. Suraya, G. S. Shekarappa et al. · 0 citations

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