Embedded computing and optimized machine learning models make PdM viable in small, distributed and cost-sensitive systems.

An unplanned withdrawal from service, whether for a passenger train or a freight consist, carries a heavy disruption cost and ch ...

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 ...

Machines wear down. That's just physics. It's been true for a hundred years, and it's still true today. What's changed is how ...

Predictive maintenance has moved beyond simply using technology to forecast faults—it is helping engineers make more informed maintenance decisions. Maintenance has evolved from a siloed, reactive ...

The integration of Industry 4.0 solutions can significantly enhance operational efficiency, particularly in terms of minimizing downtime. However, achieving these outcomes requires careful planning ...

Demand for operational efficiency, consistent services and constant uptime has never been stronger in the fast-changing financial scene of today. From transaction processing to customer service, ...

At IntraLogisteX Dallas, Kshitiz  Saini American Airlines, will share how predictive maintenance can support warehouse ...

Success in Formula One isn’t just about the driver—it’s also about the performance of the technical team. Not long ago, teams could only learn what was happening under the hood during a pit stop.

New Cohesive commissioned research finds IBM Maximo users demonstrate higher maintenance maturity than industry peers.

These days anybody can collect machine data but turning that predictive maintenance data into actionable insights that ...