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Anomaly Detection Method of Aircraft System using Multivariate Time Series Clustering and Classification Techniques

Mohamed Ben Slimene and Mohamed-Salah Ouali

Abstract (2022)

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Department: Department of Mathematics and Industrial Engineering
Research Center: CIRRELT - Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation
PolyPublie URL: https://publications.polymtl.ca/52006/
Conference Title: 10th IFAC Triennial Conference on Manufacturing Modelling, Management and Control (MIM 2022)
Conference Location: Nantes, FRANCE
Conference Date(s): 2022-06-22 - 2022-06-24
Journal Title: IFAC PapersOnLine (vol. 55, no. 10)
Publisher: Elsevier
DOI: 10.1016/j.ifacol.2022.09.616
Official URL: https://doi.org/10.1016/j.ifacol.2022.09.616
Date Deposited: 18 Apr 2023 14:58
Last Modified: 05 Apr 2024 11:56
Cite in APA 7: Ben Slimene, M., & Ouali, M.-S. (2022, June). Anomaly Detection Method of Aircraft System using Multivariate Time Series Clustering and Classification Techniques [Abstract]. 10th IFAC Triennial Conference on Manufacturing Modelling, Management and Control (MIM 2022), Nantes, FRANCE. Published in IFAC PapersOnLine, 55(10). https://doi.org/10.1016/j.ifacol.2022.09.616

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