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

Steering through the dynamic terrain of the manufacturing industry, Artificial Intelligence (AI) emerges as the ultimate catalyst, reshaping the narrative of predictive maintenance. This revolutionary ...

The Department of Defense (DOD) issued an interim predictive maintenance policy in 2002, but the military services made limited progress implementing it until recently. In 2007, DOD instructed 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 ...

Predictive maintenance is essential for machine operation as it assesses the condition of the machine using key health indicators. These are then used to schedule maintenance before it fails. Dmitry ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

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

Predicting exactly how and when a process tool is going to fail is a complex task, but it’s getting a tad easier with the rollout of smart sensors, standard interfaces, and advanced data analytics.