From routine upkeep to high-tech predictive analytics, maintenance strategies are evolving to save industries millions in downtime and repairs. Preventive schedules keep equipment healthy, while ...

Korean Air led the 2026 Predictive Maintenance Airline Workshop between April 22 and 23 in its Seoul headquarters.

A new systematic review highlights how generative AI can overcome data shortages in predictive maintenance for aviation by creating synthetic run‑to‑failure datasets. The study finds models such as ...

Facility teams everywhere are under growing pressure. Costs are rising, building systems are becoming more complex, and staffing levels aren’t keeping pace. At the same time, most buildings are ...

The National Center for Manufacturing Sciences (NCMS) announces the publication of a new Technology Brief that explores how advances in integrated vehicle health management (IVHM) systems are ...

Predictive maintenance fails not from bad models, but broken handoffs. Here's the integration architecture that closed the ...

Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate ...

Read more about Digital twin systems unlock scalable, data-driven maintenance for global railways on Devdiscourse ...

After delivering with predictive maintenance and seismic data crunching, Equinor seeks to move into agentic artificial ...

Artificial intelligence is revolutionizing oil analysis by automating data interpretation, forecasting oil life, and integrating multi-sensor CBM data.