Predictive maintenance and artificial intelligence are rapidly reshaping how American businesses keep equipment running, but ...

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 ...

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

Success in Formula One isn’t just about the driver—it’s also about the performance of the technical team. Not long ago, teams could only learn what was happening under the hood during a pit stop.

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...

A detailed look at predictive maintenance engineering, mechanical system reliability, and Rutvikkumar Patel’s role in strengthening mission-critical infrastructure across global industrial sectors.

How can food manufacturers best address costly equipment contamination and the downtime that can result? One answer is to ...

As city grids evolve with renewable resources and IoT integration, digital twins offer a scalable solution for proactive ...

Optimizing the performance and availability of existing legacy aircraft as well as newer, technologically advanced assets is an increasingly complex and costly challenge. In this white paper, you will ...

Ever larger PV systems and fleets create challenges from an O&M perspective. Image: SMA Solar. Digitalisation offers PV plant operators the opportunity to shift from preventive to predictive ...

African carriers are increasingly integrating OEM-driven digital maintenance platforms as the shift to digital in aircraft maintenance has moved from aspiration to reality. However, the situation on ...