New research has categorized all existing fault detection and localization strategies for grid-connected PV inverters. The overview also provides a classification of various component failure modes ...

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 ...

An international research team has used the convolutional neural network (CNN) deep learning algorithm to identify faults in solar panels. Its work showed the proposed technique has a high degree of ...

Sense, a company focused on grid edge intelligence, has announced a new edge-powered Fault Detection Solution that is embedded directly into next-generation smart meters. The software gives utilities ...

EAST SYRACUSE, N.Y.--(BUSINESS WIRE)--INFICON, a leading provider of manufacturing software and hardware solutions for the semiconductor and related industries, is proud to announce the release of the ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, proposes a new high-performance fault-tolerant quantum ...

DC arc fault detection is undergoing a transformation thanks to edge AI, helping power systems spot dangerous faults faster, locally, and before they cause costly failures.

Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving ...

PG&E's new monitoring center uses machine learning to detect and prevent wildfires, avoiding ignitions and outages.