Visualizing time series state changes with prototype based clustering

Authors:
Markus Pylvänen;Sami Äyrämö;Tommi Kärkkäinen
Affiliations:
University of Jyväskylä, Department of Mathematical Information Technology, Jyväskylä, Finland;University of Jyväskylä, Department of Mathematical Information Technology, Jyväskylä, Finland;University of Jyväskylä, Department of Mathematical Information Technology, Jyväskylä, Finland
Venue:
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
Year:
2009

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Visualization

Abstract

Modern process and condition monitoring systems produce a huge amount of data which is hard to analyze manually. Previous analyzing techniques disregard time information and concentrate only for the indentification of normal and abnormal operational states. We present a new method for visualizing operational states and overall order of the transitions between them. This method is implemented to a visualization tool which helps the user to see the overall development of operational states allowing to find causes for abnormal behaviour. In the end visualization tool is tested in practice with real time series data collected from gear unit.