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 ...

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 ...

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

The journey towards autonomous operations involves incremental steps, each bringing businesses closer to a state where systems can independently manage and optimize processes, ensuring sustained ...

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

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

A growing perception among engineers these days is that predictive maintenance is now an almost exclusive domain of artificial intelligence (AI) techniques and that they first need to learn machine ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

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

Downtime is the enemy of profitability in manufacturing, which is why FANUC, a leading global automation solutions provider, has introduced a new Industrial Internet of Things (IIOT) software designed ...