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 one that works.

It’s every production line manager’s nightmare—some machinery breaks down, stopping production on the factory floor. In a fab, if just one piece of semiconductor manufacturing equipment goes down and ...

Centralized remote monitoring is reshaping power plant operations, enabling specialized teams to oversee multiple facilities ...

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 ...

Predictive maintenance, based on more and better sensor data from semiconductor manufacturing equipment, can reduce downtime in the fab and ultimately cut costs compared with regularly scheduled ...

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

Nearly everyone in manufacturing, from equipment manufacturers to processing plants, commonly face the challenge of keeping their fleet, machinery, and other assets working efficiently, while also ...

Despite all the talk about it, predictive maintenance is still making only slow and partial progress in airline shops. One reason is that some airline maintenance managers have yet to be convinced of ...