Read more about Predictive maintenance and reporting automation lead AI adoption in energy industry on Devdiscourse ...

MD&M West speaker Javid Vahid shows how Edlore and Siemens collaborated to reduce carbon emissions and improve operational efficiency.

The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...

Predictive maintenance and digital twin technologies use real-time aircraft data and advanced analytics to help MROs increase ...

For the first time, heavy-duty trucking fleet managers and technicians can actually partner with intelligent machines to ...

By merging telemetry data with machine learning, the advanced software platform detects issues early, reducing downtime and ...

In this article, MaintainX shares a collection of useful stats and insights about preventive maintenance, predictive analytics, artificial intelligence, and other trends that impact maintenance teams.

Quester’s AI-driven maintenance insights aim to help fleets reduce unplanned downtime, improve repair planning, and better ...

The way machines behave depends on working sites, shifts, climates and duty cycles. Predictive maintenance is precision medicine for machines. It continuously monitors "vital signs," detects ...

These days, summer in the city — any city, or pretty much anywhere — often means temperatures in the 90s with a heat index over 100. Not a time when you want an unexpected air conditioner failure. To ...

Electric vehicles may see cost improvements—while tariffs are likely to increase reliance on preventive maintenance to extend ...