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, ...

MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

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 ...

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 ...

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 ...

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 ...

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 city grids evolve with renewable resources and IoT integration, digital twins offer a scalable solution for proactive ...