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

Airlines scale predictive maintenance in 2025 as Emirates, Airbus and GE disclose new deployments and reductions in ...

Systecon has received a contract modification from the U.S. Army to continue deploying an analytics tool that could enable the service to perform predictive maintenance and improve operational ...

AI In Aviation Market Set To Hit USD 171.53 Billion By 2033, Driven By Predictive Maintenance And Flight Operations ...

Members pictured from left to right. The concept of predictive maintenance is familiar to anyone who has owned a car—you regularly have the vehicle inspected, change fluids, replace tires, change ...

Shiva Bhardwaj, like many forward-thinking leaders, believes the future success of the transportation industry lies in predictive maintenance. And for good reason. A maintenance operation that ...

It was Kenneth Calhoun who first educated me on the powerful potential predictive maintenance could have for fleet maintenance operations and vehicle uptime. This was a decade ago. Calhoun and I sat ...

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

There are many, many definitions for condition-based monitoring (CBM),” says Diego Navarro, global fleet management solutions manager for John Deere Construction and Forestry Division. “Mine is being ...

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 ...

Senior Airman Rafael De Leon inspects the underside of an F-15E Strike Eagle’s wing at RAF Lakenheath. The Liberty Wing’s maintenance teams ensure that aircraft are ready to accomplish the mission ...

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