These standout case studies show how manufacturers have reduced downtime, cut costs, and improved reliability using ...

Scientists from Malaysia and Thailand have developed a novel machine-learning model for predicting the maintenance needs of large-scale solar PV plants. According to a recently published scientific ...

Renewable energy is an essential part of striving for sustainable operations across industries. Predictive maintenance is one tool that helps build a reliable renewable energy infrastructure. With the ...

Manufacturers are navigating a tempestuous landscape, wrestling with the intertwined challenges of pandemic-induced disruptions, potential tariffs and evolving policy shifts that strain global supply ...

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Steering through the dynamic terrain of the manufacturing industry, Artificial Intelligence (AI) emerges as the ultimate catalyst, reshaping the narrative of predictive maintenance. This revolutionary ...

Predictive maintenance, based on more and better sensor data from semiconductor manufacturing equipment, can reduce downtime in the fab and ultimately cut costs compared with regularly scheduled ...

Predictive maintenance needs to be more than mere prediction to be effective—it needs to link to specific MRO actions. Credit: Lufthansa Technik Big data, the Internet of Things, digital twinning and ...

UH-60 Black Hawk crew members conduct maintenance on a UH-60 Black Hawk helicopter. (Training Resource Specialist Charles Rosemond/U.S. Army) WASHINGTON — The Government Accountability Office is ...

In the era of Industry 4.0, manufacturing is no longer defined solely by mechanical precision; it’s now driven by data, connectivity, and intelligence. Yet downtime remains one of the most persistent ...