Modern combat aircraft generate enormous amounts of data, from engine health and avionics status to mission-system ...

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 ...

In the second in a series, MathWorks industry manager Philipp Wallner and product manager Eric Wetjen explore the steps needed to leverage the power of artificial intelligence (AI) in effectively ...

A healthy fleet is the key to a thriving logistics business. And you can’t keep a healthy fleet without regular vehicle maintenance. But with a few different types of maintenance at your disposal, ...

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 ...

In its most simplistic sense, there are two types of maintenance: reactive and proactive. While reactive requires managing a failure after it occurs, the various proactive maintenance approaches allow ...

Predictive maintenance aims to minimize unplanned downtime by using artificial intelligence (AI) and machine learning to identify impending problems, so they can be addressed before they take effect.

As the world of industrial technology has become more competitive, companies have realized the importance of being able to adapt quickly to unpredictable changes in workflow and production. When ...

Google offers a framework for designing your own Industrial IoT predictive maintenance solution to accurately determine when to replace manufacturing equipment. Entropy sucks. But industrial ...