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

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 ...

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

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 ...

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 ...

Artificial intelligence (AI)-enabled predictive maintenance is now becoming a key component in the pursuit of enhanced reliability and cost-effectiveness in the power industry, and as it continues to ...

What is predictive maintenance (PdM)? It’s the application of instrumentation and intelligence to help determine the condition of equipment and whether maintenance should be performed to avoid ...

RFID is not a new technology, so professionals have discovered many of its practical applications. However, while several industries rely on it for asset tracking, relatively few have deployed it to ...

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 ...

It’s nearly impossible to attend an industry trade show or conference without hearing the terms “artificial intelligence” or “data-driven.” While they might sound like computer science terms, trucking ...