Ensemble Neuroevolution-Based Approach for Multivariate Time Series Anomaly Detection

Multivariate time series anomaly detection is a widespread problem in the field of failure prevention. Fast prevention means lower repair costs and losses. The amount of sensors in novel industry systems makes the anomaly detection process quite difficult for humans. Algorithms that automate the pro...

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Detalles Bibliográficos
Autores principales: Kamil Faber, Marcin Pietron, Dominik Zurek
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
CNN
Q
Acceso en línea:https://doaj.org/article/57ccd6b520bd427bb61eadc5f01c1e0c
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