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

Intelligent predictive maintenance platforms exemplify this approach by integrating telemetry data and machine learning algorithms to predict the serviceable lifetime of critical components. “Imagine ...

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 ...

SEATTLE--(BUSINESS WIRE)--According to Coherent Market Insights, the global predictive maintenance market is estimated to be valued at US$ 2,123.8 Mn in 2018, up from US$ 1,639.2 Mn in 2017. By 2026, ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

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

Senior Airman Rafael De Leon inspects the underside of an F-15E Strike Eagle’s wing at RAF Lakenheath. The Liberty Wing’s maintenance teams ensure that aircraft are ready to accomplish the mission ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

China is projected to record a 7.8% CAGR through 2035, underpinned by the world’s largest high-speed rail network and ...