Ensemble Neuroevolution-Based Approach for Multivariate Time Series Anomaly Detection

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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Bibliographic Details
Main Authors: Kamil Faber, Marcin Pietron, Dominik Zurek
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Entropy
Subjects:
neuroevolution
anomaly detection
ensemble model
CNN
time series
deep learning
Online Access:https://www.mdpi.com/1099-4300/23/11/1466

Internet

https://www.mdpi.com/1099-4300/23/11/1466

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