Online fuzzy temporal operators for complex system monitoring - Archive ouverte HAL Access content directly
Conference Papers Year : 2017

Online fuzzy temporal operators for complex system monitoring

(1) , (1) , (1) , (2)
1
2

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.
Fichier principal
Vignette du fichier
article_JeanPhilippePoli_ECSQARU2017.pdf (765.14 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

cea-01809219 , version 1 (26-02-2022)

Identifiers

Cite

Jean-Philippe Poli, Laurence Boudet, Bruno Espinosa, Laurence Cornez. Online fuzzy temporal operators for complex system monitoring. ISIPTA '17 and ECSQARU 2017 - 14th European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty, Jul 2017, Lugano, Switzerland. pp.375-384, ⟨10.1007/978-3-319-61581-3_34⟩. ⟨cea-01809219⟩
100 View
15 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More