Multivariate time series anomaly detection with variational autoencoder and spatial–temporal graph network

Effective anomaly detection in multivariate time series (MTS) is very essential for modern complex physical equipment. A single anomaly in physical equipment can cause a series of failures due to fault propagation. Therefore, the equipment needs to be comprehensively monitored by an anomaly detectio...

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Vydané v:	Computers & security Ročník 142; s. 103877
Hlavní autori:	Guan, Siwei, He, Zhiwei, Ma, Shenhui, Gao, Mingyu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.07.2024
Predmet:	Anomaly detection Multivariate time series Physical equipment Spatial–temporal graph networks Variational autoencoder Variational autoencoder Multivariate time series Physical equipment Anomaly detection Spatial–temporal graph networks
ISSN:	0167-4048, 1872-6208
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