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

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 ...

Determining when to service equipment by estimating component degradation. Predictive maintenance (PDM) is more cost effective than preventive maintenance, which is routinely scheduled service and ...

As aging infrastructure and rising costs challenge traditional methods, IoT and smart technologies are paving the way for ...

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 ...

Maintenance is a critical behind-the-scenes activity that keeps manufacturing facilities running and data centers humming. But when not performed in a timely manner, it can result in damaged products ...

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 ...

The maritime industry stands at a digital crossroads. Over the past decade, the conversation has evolved from seeing shipping ...

Toyota Motor Corp. is no different than any other company. Like the rest, the automaker wants maximum uptime at the least cost possible. But it differs from many manufacturers in that it has an ...

Real-time asset health and work management integration closes the gap between detection and repair–creating a seamless, closed-loop reliability workflow. CINCINNATI, Ohio, 8, 2025 – Waites Sensor ...

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 ...