Online Fuzzy Temporal Operators for Complex System Monitoring

  • Jean-Philippe Poli
  • Laurence Boudet
  • Bruno Espinosa
  • Laurence Cornez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10369)


Online fuzzy expert systems can be used to process data and event streams, providing a powerful way to handle their uncertainty and their inaccuracy. Moreover, human experts can decide how to process the streams with rules close to natural language. However, to extract high level information from these streams, they need at least to describe the temporal relations between the data or the events.

In this paper, we propose temporal operators which relies on the mathematical definition of some base operators in order to characterize trends and drifts in complex systems. Formalizing temporal relations allows experts to simply describe the behaviors of a system which lead to a break down or an ineffective exploitation. We finally show an experiment of those operators on wind turbines monitoring.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Jean-Philippe Poli
    • 1
  • Laurence Boudet
    • 1
  • Bruno Espinosa
    • 1
  • Laurence Cornez
    • 1
  1. 1.CEA, LIST, Data Analysis and System Intelligence LaboratoryGif-sur-Yvette cedexFrance

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