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

Maybe you don’t think much about it when a machine is new. But over time, a machining center is going to require more than routine maintenance. Sooner or later mechanical components are going to wear, ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

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 ...

The fourth industrial revolution, or Industry 4.0, is a revolutionary change in business operations. With the use of real-time data, automation, and networked systems, machine downtime has changed ...

It’s every production line manager’s nightmare—some machinery breaks down, stopping production on the factory floor. In a fab, if just one piece of semiconductor manufacturing equipment goes down and ...

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 ...

FANUC’s AI Servo Monitor provides machine health data and analysis to maximize uptime. HOFFMAN ESTATES, Ill.--(BUSINESS WIRE)--Downtime is the enemy of profitability in manufacturing, which is why ...