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An on-line SAX and HMM-based anomaly detection and visualization tool for early disturbance discovery in a dynamic industrial process

Christos Yiakopoulos, Konstantinos Gryllias, Moncef Chioua, Martin Hollender and Ioannis Antoniadis

Article (2016)

Document published while its authors were not affiliated with Polytechnique Montréal

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PolyPublie URL: https://publications.polymtl.ca/48543/
Journal Title: Journal of Process Control (vol. 44)
Publisher: Elsevier
DOI: 10.1016/j.jprocont.2016.05.007
Official URL: https://doi.org/10.1016/j.jprocont.2016.05.007
Date Deposited: 18 Apr 2023 15:06
Last Modified: 05 Apr 2024 11:50
Cite in APA 7: Yiakopoulos, C., Gryllias, K., Chioua, M., Hollender, M., & Antoniadis, I. (2016). An on-line SAX and HMM-based anomaly detection and visualization tool for early disturbance discovery in a dynamic industrial process. Journal of Process Control, 44, 134-159. https://doi.org/10.1016/j.jprocont.2016.05.007

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