Anomaly detection for multivariate times series through the multi-scale convolutional recurrent variational autoencoder

To realize the anomaly detection for industrial multi-sensor data, we develop a novel multi-scale convolutional recurrent variational autoencoder (MSCRVAE) model. It is a hybrid of convolutional autoencoder and convolutional long short-term memory with variational autoencoder (ConvLSTM-VAE). The Con...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 231; p. 120725
Main Authors:	Xie, Tianming, Xu, Qifa, Jiang, Cuixia
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 30.11.2023
Subjects:	Anomaly detection Inner correlation Multi-scale convolutional recurrent variational autoencoder Multi-sensor data Multivariate time series Variational autoencoder Multi-sensor data Variational autoencoder Inner correlation Multi-scale convolutional recurrent variational autoencoder Multivariate time series Anomaly detection
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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