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On visual analytics in plant monitoring

: Tack, Tim; Maier, Alexander; Niggemann, Oliver


Ferrier, J.-L.:
Informatics in Control, Automation and Robotics. 9th International Conference, ICINCO 2012 : Rome, Italy, July 28-31, 2012, Revised Selected Papers
Cham: Springer International Publishing, 2014 (Lecture notes in electrical engineering 283)
ISBN: 978-3-319-03499-7 (Print)
ISBN: 978-3-319-03500-0 (Online)
International Conference on Informatics in Control, Automation and Robotics (ICINCO) <9, 2012, Rome>
Fraunhofer IOSB ()
anomaly detection; production plant; automation system; Visual analytics; visualization technique

This chapter introduces methods from the field of visual analytics and machine learning which are able to handle high feature dimensions, timed systems and hybrid systems, i.e. systems comprising both discrete and continuous signals. Further, a three steps tool chain is introduced which guides the operator from the visualization of the normal behavior to the anomaly detection and also to the localization of faulty modules in production plants.