The InfoQ trends reports provide a snapshot of emerging software technology and ideas. We create the reports and accompanying graphs to aid software engineers and architects in evaluating what trends ...

Predictive maintenance (PdM) is a process used to monitor equipment during an operation with the purpose to identify any deterioration. It helps to plan maintenance schedules and reduce operational ...

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

Predictive maintenance techniques detect performance in real-time that help prevent major failures & determine when maintenance should be performed. Condition monitoring is the most preferred ...

Predictive Maintenance techniques are designed to help determine the condition of in-service equipment in order to estimate when maintenance should be performed. This approach promises cost savings ...

Predictive maintenance is emerging as a necessity for aerospace and defense (A&D) systems. By leveraging advanced analytics to monitor equipment health and anticipate failures, operators can ...

A growing perception among engineers these days is that predictive maintenance is now an almost exclusive domain of artificial intelligence (AI) techniques and that they first need to learn machine ...

NATICK, Mass.--(BUSINESS WIRE)--MathWorks today announced Predictive Maintenance Toolbox, a new MATLAB product that helps engineers design and test condition monitoring and predictive maintenance ...

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 ...

Today’s consumers live in a data-driven world where they can easily access information about their homes, cars, banking and much more right from their mobile devices. Similar technologies are becoming ...