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Online fuzzy temporal operators for complex system monitoring

Jean-Philippe Poli 1 L. Boudet 1 B. Espinosa 1 L. Cornez 1
1 LADIS - Laboratoire d'analyse des données et d'intelligence des systèmes
DM2I - Département Métrologie Instrumentation & Information : DRT/LIST/DM2I
Abstract : 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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https://hal-cea.archives-ouvertes.fr/cea-01809219
Contributor : Léna Le Roy <>
Submitted on : Wednesday, June 6, 2018 - 3:07:20 PM
Last modification on : Monday, March 30, 2020 - 2:48:05 PM

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Jean-Philippe Poli, L. Boudet, B. Espinosa, L. Cornez. Online fuzzy temporal operators for complex system monitoring. 14th European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty, ECSQARU 2017, Jul 2017, Lugano, Switzerland. pp.375-384, ⟨10.1007/978-3-319-61581-3_34⟩. ⟨cea-01809219⟩

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