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 ...

Predictive maintenance is widely considered to be the obvious next step for any business with high-capital assets looking to harness machine learning to minimize equipment maintenance costs.

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 ...

Renewable energy is an essential part of striving for sustainable operations across industries. Predictive maintenance is one tool that helps build a reliable renewable energy infrastructure. With the ...

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 ...

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 ...

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.

Artificial intelligence (AI) is transforming the energy sector, helping power plant operators optimize efficiency, reduce emissions, and prevent costly equipment failures. By analyzing vast amounts of ...

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 ...