Diagnostics, Asset Management
Case-use examples illustrate the point
It is becoming a reality that artificial intelligence (AI) are starting to change the traditional role of the control engineer. There are some benefits, but there also potential barriers to its adoption in the industrial environment.
MIT researchers have developed flexible sensors and an artificial intelligence model that tell deformable robots how their bodies are positioned in a 3D environment.
Purdue University researchers have developed a cybersecurity tool designed to stop cyber attacks using supervised machine learning, unsupervised machine learning and rule-based learning
The manufacturing industry is adopting methodologies that will help make operations faster and more efficient than ever before, but companies need to collaborate and collect as much data as possible.
Augmented reality (AR) wearable technology can provide workers and companies real-time information about conditions on the plant floor to make everyone safer.
Robotic offline programming (OLP) reduces initial setup time, programming time, and changeover and alteration time for manufacturers.
Clarkson University received an NSF grant to construct a new high-performance computing cluster to support data and computationally intensive projects.
International: Move from vision to reality: It’s time to embrace digital twins for manufacturing. Benefits include more efficient digital transformations and more effective asset monitoring and performance.
End users are comfortable with virtualization in their information technology (IT) server rooms and desktops, and many similar benefits now can be realized with industrial programmable logic controllers (PLCs) and programmable automation controllers (PACs).