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 ...

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

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

The initial focus of this partnership is on the launch of Resolve, AI software that delivers predictive maintenance ...

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 ...

Automakers use AI-driven predictive maintenance and computer vision control to achieve a 35-50% reduction in unscheduled ...

Burlington, Massachusetts / / December 6, 2025 / Alpha Software Deloitte has highlighted that poor maintenance strategies can reduce a plant’s productive capacity by 5-20%, with unplanned downtime ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...