Remaining useful lifetime prediction and extension of Si power devices have been studied
extensively. Silicon carbide (SiC) power devices have been developed and commercialized …

This paper proposes Bayesian Regularization (BR) along with artificial neural network
(ANN) and random forest (RF) based machine learning to model power converters and …

Operation condition monitoring of power electronics' systems can improve analysis visibility
for device administrators and researchers. However, the current sensor-based monitoring …

Power electronics converters (PECs) are responsible for efficiently converting electrical
energy between power generators, storage systems and power consumers/loads. The PECs …

Emerging GaN high electron mobility transistors have become a popular choice in high-
efficiency, high-speed power circuits, owing to superb switching figure of merits. However …

To mitigate unique aging and failure challenges encountered in GaN technology, this article
develops the techniques that reinforce the reliability of GaN power circuits. In particular, an …

As GaN technology proliferates in modern power electronics, reliability of GaN-based
circuits has become the biggest hurdle for commercialization. Sustaining largest voltage and …

This paper presents the challenges of implementing in-situ prognostics to practical power
converters and proposes a new on-state voltage (V DSON) monitoring circuit for the high …

This paper addresses the critical issue of real-time monitoring of on-state resistance
(RDSON) monitoring of all power semiconductor devices within a three-phase inverter. An …

A major disadvantage of existing condition monitoring methods is the need for additional
sensors and measuring equipment. In this work, this disadvantage is eliminated by …