Risks And Faults We Can Detect Using Machine Learning And Physics

In its earliest form, technicians manually took condition status readings from individual pieces of equipment and used them to shape maintenance conclusions. Today, critical machine and system data can be streamed continuously, automatically, from industrial internet of things (IIoT) sensors for real-time analytics, diagnostics, and suggested actions. Click here to read more. » read more

Hybrid Method For More Reliable Virtual Sensors Within Vehicle Dynamics Control Systems

New technical paper titled "Ensuring the Reliability of Virtual Sensors Based on Artificial Intelligence within Vehicle Dynamics Control Systems" from University of Duisburg-Essen. Abstract "The use of virtual sensors in vehicles represents a cost-effective alternative to the installation of physical hardware. In addition to physical models resulting from theoretical modeling, artificial in... » read more