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 ...

Success in operational readiness is all about the data collection. When predictive maintenance systems are integrated with ...

AI agents for predictive maintenance in energy infrastructure help cut downtime and boost efficiency. Discover how to design ...

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 ...

In the second in a series, MathWorks industry manager Philipp Wallner and product manager Eric Wetjen explore the steps needed to leverage the power of artificial intelligence (AI) in effectively ...

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 ...

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 ...

Intelligent predictive maintenance platforms exemplify this approach by integrating telemetry data and machine learning algorithms to predict the serviceable lifetime of critical components. “Imagine ...

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 ...