itsowl-TT-IASA: Intelligente Assistenz-System zur Anlagenanalyse

The aim of the planned transfer project is to implement an intelligent assistance system for automatic plant monitoring. This system first learns a model of the plant's normal behavior in order to detect errors later. Existing learning methods from the QP "Energy Efficiency" will be used. With this method, errors can be detected (i) in the discrete signal characteristics (e.g. sensor failure), (ii) in the time behavior (e.g. wear) and (iii) in continuous signal characteristics (e.g. process error).