Abstract: The rotational position encoder is here adopted and optimized on a 1-D Convolutional Transformer Hybrid Neural Network model for fault diagnostics on power converters. The effectiveness of ...

The final, formatted version of the article will be published soon. Mobile robots, such as drones, rovers, and autonomous ground units, are becoming more crucial for inspecting, monitoring, and ...

Abstract: DC arc faults in photovoltaic systems pose serious safety risks, including fire hazards and power disruption, making accurate and timely detection essential. This article presents PArcNet, a ...

1 Department of Management Science and Engineering, Stanford University, Stanford, CA, United States 2 Department of Ophthalmology, Byers Eye Institute, Stanford University, Stanford, CA, United ...

Soitec and CEA have shown that Fully Depleted Silicon-on-Insulator (FD-SOI) substrates inherently provide protection against fault injection attacks. As vehicles evolve into highly connected, software ...