SumTime-turbine: a knowledge-based system to communicate gas turbine time-series data

Authors:
Jin Yu;Ehud Reiter;Jim Hunter;Somayajulu Sripada
Affiliations:
Department of Computing Science, University of Aberdeen, Aberdeen, UK;Department of Computing Science, University of Aberdeen, Aberdeen, UK;Department of Computing Science, University of Aberdeen, Aberdeen, UK;Department of Computing Science, University of Aberdeen, Aberdeen, UK
Venue:
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Year:
2003

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Abstract

SumTime-Turbine produces textual summaries of archived time-series data from gas turbines. These summaries should help experts understand large data sets that cannot be visually presented in a single graphical display. SumTime-Turbine is based on pattern detection, knowledge-based temporal abstraction (KBTA), and natural language generation (NLG) technology. A prototype version of the system has been implemented and is currently being evaluated.