This paper presents a neural network-based method for the detection of high impedance faults (HIF), utilizing a Levenberg-Marquardt-trained artificial neural network as well as a realistic two-diode HIF model in MATLAB Simulink.

This paper presents a retrofittable, IoT-based onboard diagnostics device for electric vehicles, utilizing a decision tree algorithm based on FMEA principles as well as real-time multi-source data from motor, controller, and battery.

Oxide layers, residues and process variation can undermine bonding, sintering and long-term reliability. Learn how controlled plasma processes create reproducible surface conditions for modern power electronics packaging.

This paper presents the first industrialized 100 A / 800 V Smart Semiconductor Hybrid Circuit Breaker (SCHCB), utilizing a hybrid switching concept combining a high-speed mechanical arcing switch, a bidirectional power semiconductor switch, a robust voltage clamping circuit, and a mechanical isolation contact system.