3 papers
eess.SY2026
Failure-Mechanism Transferability of Cumulative-Damage Features for Health State Estimation of SiC Power Modules
Mattia Scarpa, Evgeny Kusmenko, Francesco Toso +3
Data-driven health-state estimators for SiC (Silica-Carbide) power modules typically report their performance on a single accelerated-aging campaign, and how that performance trans…
eess.SY2026
Physics-Informed Condition Monitoring of SiC Power Modules
Mattia Scarpa, Evgeny Kusmenko, Francesco Toso +3
Silicon carbide (SiC) power modules are increasingly deployed in automotive traction inverters, where condition monitoring is essential to prevent in-service failures. Despite exte…
eess.SY2025
Data-driven Power Loss Identification through Physics-Based Thermal Model Backpropagation
Mattia Scarpa, Francesco Pase, Ruggero Carli +2
Digital twins for power electronics require accurate power losses whose direct measurements are often impractical or impossible in real-world applications. This paper presents a no…