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

Demand for operational efficiency, consistent services and constant uptime has never been stronger in the fast-changing financial scene of today. From transaction processing to customer service, ...

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 ...

Data analysis is helping operators in the solar power sector develop more efficient systems that optimize operations and deliver cost savings. Utilities and other developers of solar power ...

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

ANN ARBOR, Mich., Dec. 19, 2025 (GLOBE NEWSWIRE) -- The National Center for Manufacturing Sciences (NCMS) announces the publication of a new Technology Brief that demonstrates how portability in ...

Predicting exactly how and when a process tool is going to fail is a complex task, but it’s getting a tad easier with the rollout of smart sensors, standard interfaces, and advanced data analytics.

Predictive maintenance can help manufacturers save on costs by spotting equipment issues early. Companies like Aquant and Gecko Robotics provide AI-powered tools that inform maintenance decisions.

The Navy is using data from warships deployed in the Red Sea to improve its predictive maintenance and modernization efforts. “We have opportunities to leverage real-world data given what the team is ...

The most prevalent pumps within a construction site are centrifugal water pumps, used for moving water and other light liquid substances, and positive displacement pumps, used for thicker fluids, such ...