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

Abu Dhabi National Oil Co. (ADNOC) has completed the first phase of its large-scale multi-year predictive maintenance project to maximize asset efficiency and integrity across its upstream and ...

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

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 ...

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 ...

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...

The aftermarket is starting to look at predictive maintenance from different angles with different data types. Fleet age will play a role—a 30-year-old aircraft will differ from newer airframes built ...

This article covers some of the leading asset management strategies that help drive efficiencies across plant operations and ...

The Army has designed the T901 Improved Turbine Engine to be compliant with Prognostic and Predictive Maintenance (PPMx) technologies. PPMx, a predictive maintenance strategy based on relevant data, ...

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 ...

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 ...