Driven by increased adoption of Industry 4.0 technologies, specifically AI, manufacturers still rank predictive maintenance use cases at the top of their priority lists. Yet despite strong interest ...

Oil and gas operators have been performing maintenance on their pumps, compressors and turbines much like most drivers change their engine oil — on a fixed schedule, regardless of the equipment's need ...

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

Predictive maintenance (PdM) is transforming power plant operations by leveraging artificial intelligence (AI), data analytics, and automation to prevent costly equipment failures. Learn about ...

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 ...

Komatsu is supporting mine operations to become future-proof with data-driven maintenance systems that provide greater asset ...

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 ...

Predictive maintenance, digital twins and AI-enabled process optimization are reshaping glass fiber manufacturing as major infrastructure investment expands.”Boston, Aug. 21, 2026 (GLOBE NEWSWIRE) -- ...

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

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.