New research describes multimodal sensor fusion for AI-based fault detection in 3D printing.

In today's industries, quality inspection in semiconductor manufacturing is critical. Many traditional fault detection and diagnosis techniques have been developed to determine the existence of trends ...

Schweitzer Engineering Laboratories, Inc. has released high-impedance fault detection in the SEL-651R Advanced Recloser Control. SEL’s patented Arc Sense technology (AST) detects more high-impedance ...

An Iraqi-Canadian research team has created a new algorithm that can detect direction change in the line current of renewables-based microgrids. The novel approach can be applied to both grid-forming ...

So much information, so little time. We have so much data so easily available to us today that putting it all to use is just not possible. In refrigeration control and monitoring, systems like the ...

A group of researchers led by the University of Sharjah in the UAE proposed to use the convolutional neural network (CNN) technique to detect temperature and shading-induced faults in PV modules. CNN ...

In technical literature, there are many valid ways to define a system, and an embedded system in particular. For the purposes of this article we will use one of the most general and classic model of ...

Designs with LogicBIST exhibit random pattern resistance because of the random nature of LBIST vectors, thus leading to low fault coverage. To handle this, we insert test points with the help of ...

As technology nodes shrink, end users are designing systems where each chip element is being targeted for a specific technology and manufacturing node. While designing chip functionality to address ...