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

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can transform operations by preventing equipment failures, ...

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 ...

FLO, offers practical guidance on leveraging artificial intelligence, digital twins and streamlined workflows to improve ...

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.

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 ...

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

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 ...

Alistair Leuchars at ADS Group Limited, discusses the transformation of civil aerospace driven by artificial intelligence in ...

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 ...

Members pictured from left to right. The concept of predictive maintenance is familiar to anyone who has owned a car—you regularly have the vehicle inspected, change fluids, replace tires, change ...