MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost ...

AI agents for predictive maintenance in energy infrastructure help cut downtime and boost efficiency. Discover how to design ...

Success in operational readiness is all about the data collection. When predictive maintenance systems are integrated with ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

The Department of Defense (DOD) issued an interim predictive maintenance policy in 2002, but the military services made limited progress implementing it until recently. In 2007, DOD instructed the ...

Systecon has received a contract modification from the U.S. Army to continue deploying an analytics tool that could enable the service to perform predictive maintenance and improve operational ...

Members pictured from left to right. The concept of predictive maintenance is familiar to anyone who has owned a car—you regularly have the vehicle inspected, change fluids, replace tires, change ...

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 ...

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Data-driven predictive maintenance of electronics is an emerging research field that leverages ...

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 ...

Nearly everyone in manufacturing, from equipment manufacturers to processing plants, commonly face the challenge of keeping their fleet, machinery, and other assets working efficiently, while also ...