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 ...

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 ...

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 ...

Missouri's Park Hill School District (PHSD), with 15 schools and more than 10,000 students, has seen a 17 percent increase in enrollment over the past decade. Teachers used classroom assessments, but ...

Razor Labs (TASE:RZR) announces the launch of DataMind AI™ 4.5, a powerful upgrade to its predictive maintenance platform designed for mobile fleet management and fixed assets across mining operations ...

What is predictive maintenance (PdM)? It’s the application of instrumentation and intelligence to help determine the condition of equipment and whether maintenance should be performed to avoid ...

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 ...