Artificial Intelligence in Automation, Analyse und Diagnose

AMoMA: Automatische Modellerstellung zwecks Monitoring verfahrenstechnischer Anlagen

Prof. Dr. rer. nat. Oliver Niggemann
01.06.2010 bis 01.04.2013

The aim of this project is the development of a method for the condition monitoring of complex automation systems and for an early detection of errors and signs of wear. In order to achieve this, methods of information technology like learning of behavior and automation models or algorithms for model based diagnosis are applied.

This project is promoted by: