Disentangled Dynamic Deviation Transformer Networks for Multivariate Time Series Anomaly Detection

Disentangled Dynamic Deviation Transformer Networks for Multivariate Time Series Anomaly Detection

Graph neural networks have been widely used by multivariate time series-based anomaly detection algorithms to model the dependencies of system sensors. Previous studies have focused on learning the fixed dependency patterns between sensors. However, they ignore that the inter-sensor and temporal dep...

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Bibliographic Details
Main Authors: Chunzhi Wang, Shaowen Xing, Rong Gao, Lingyu Yan, Naixue Xiong, Ruoxi Wang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
time series
anomaly detection
graph neural networks
transformer
Online Access:https://www.mdpi.com/1424-8220/23/3/1104

Internet

https://www.mdpi.com/1424-8220/23/3/1104

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