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, ...

Today’s consumers live in a data-driven world where they can easily access information about their homes, cars, banking and much more right from their mobile devices. Similar technologies are becoming ...

Scientists have developed a machine-learning model – utilizing K-Means and long short-term memory techniques – that aims to overcome ‘fault detection and classification’ in the operation and ...

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 ...

Seasoned manufacturing professionals know the assets that make their products – the assembly robots, CNC machines, and conveyor belts – are just as important as the final products themselves. These ...

This week’s Top 10 looks at the applications of machine learning in the energy sector, spotlighting those leading the way ...

AI-powered predictive maintenance is transforming vehicle care by using real-time sensor data and machine learning to ...

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 ...