Subscribe and listen to AW’s podcast!
Subscribe and listen to the Automation World Gets Your Questions Answered podcast!
Listen Here

TwinCat Adds Machine Learning

At Hannover Messe 2019, Fabian Bause, Beckhoff’s TwinCat Product Manager, shows how Beckhoff has integrated machine learning into its TwinCat software. The company says it is currently the only automation technology supplier to integrate an inference engine into an industrial controller for machine learning. Bause noted that, because TwinCat machine learning uses the Open Neural Network Exchange (ONNX) format, files can be exchanged easily from any platform like Matlab, Pytorch or TensorFlow to TwinCat. In this video, Bause shows how data from a functional fan can be used to train TwinCat to recognize anomalies in fan function. Beyond basic anomaly detection, Bause said the algorithm can also be used to classify different kinds of faults to facilitate more precise troubleshooting. “You can even use it in motion control applications, to save energy in motion synchronization applications,” he added.

How use of robotic technology is sweeping across all industries
We asked nearly 60 industrial end-users and system integrators about their use of robotic technology. This report details the trends they identified and how to compare different types of robots.
Download Now
How use of robotic technology is sweeping across all industries
Discover New Content
Access Automation World's free educational content library!
Unlock Learning Here
Discover New Content