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 ...

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 ...

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

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 ...

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 ...

Predictive maintenance needs to be more than mere prediction to be effective—it needs to link to specific MRO actions. Credit: Lufthansa Technik Big data, the Internet of Things, digital twinning and ...

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 ...

Before predictive maintenance was implemented at Perth County Ingredients, a Canadian producer of dried egg products, maintenance manager Tom Dufton and his team spent their days fighting a constant ...

Operators of utility-scale commercial solar farms know the importance of predictive maintenance for their installations. Being proactive when it comes to developing operations and maintenance (O&M) ...