Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

These standout case studies show how manufacturers have reduced downtime, cut costs, and improved reliability using ...

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 ...

A new data model developed by researchers from Hosei University and collaborating institutions integrates IFC and CityGML standards to unify 3D geometry with inspection and repair information. This ...

In the era of Industry 4.0, manufacturing is no longer defined solely by mechanical precision; it’s now driven by data, connectivity, and intelligence. Yet downtime remains one of the most persistent ...

Before predictive maintenance was implemented at Perth County Ingredients, a Canadian producer of dried egg products, maintenance manager Tom Dufton and his team spent their days fighting a constant ...

In this article, MaintainX shares a collection of useful stats and insights about preventive maintenance, predictive analytics, artificial intelligence, and other trends that impact maintenance teams.

Predictive maintenance can help manufacturers save on costs by spotting equipment issues early. Companies like Aquant and Gecko Robotics provide AI-powered tools that inform maintenance decisions.

Artificial intelligence (AI)-enabled predictive maintenance is now becoming a key component in the pursuit of enhanced reliability and cost-effectiveness in the power industry, and as it continues to ...

RFID is not a new technology, so professionals have discovered many of its practical applications. However, while several industries rely on it for asset tracking, relatively few have deployed it to ...