Jesimar da Silva Arantes, Marcio da Silva Arantes, Herberth Birck Fröhlich, Laure Siret, Renan Bonnard
Article (2021)
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Journal Title
:
International Journal of Data Science and Analytics
(
vol.
12
,
no.
4
)
Publisher:
Springer
Official URL:
OAI:
oai:publications.polymtl.ca:49914
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Date Deposited:
18 Apr 2023 14:59
Last Modified:
14 Oct 2026 14:05
Cite in APA 7:
da Silva Arantes, J., da Silva Arantes, M., Fröhlich, H. B., Siret, L., & Bonnard, R. (2021). A novel unsupervised method for anomaly detection in time series based on statistical features for industrial predictive maintenance. International Journal of Data Science and Analytics, 12(4), 383-404. https://doi.org/10.1007/s41060-021-00283-z
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