Multi-Channel LSTM-Capsule Autoencoder Network for Anomaly Detection on Multivariate Data

Multi-Channel LSTM-Capsule Autoencoder Network for Anomaly Detection on Multivariate Data

Deep learning techniques have recently shown promise in the field of anomaly detection, providing a flexible and effective method of modelling systems in comparison to traditional statistical modelling and signal processing-based methods. However, there are a few issues that Neural Networks (NN)s fa...

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Bibliographic Details
Main Authors:	Ayman Elhalwagy, Tatiana Kalganova
Format:	Article
Language:	English
Published:	MDPI AG 2022-11-01
Series:	Applied Sciences
Subjects:	anomaly detection fault detection capsule network lstm neural networks unsupervised learning
Online Access:	https://www.mdpi.com/2076-3417/12/22/11393

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