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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Detalles Bibliográficos
Autores principales: Wang, Chunzhi, Xing, Shaowen, Gao, Rong, Yan, Lingyu, Xiong, Naixue, Wang, Ruoxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919045/
https://www.ncbi.nlm.nih.gov/pubmed/36772143
http://dx.doi.org/10.3390/s23031104

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919045/
https://www.ncbi.nlm.nih.gov/pubmed/36772143
http://dx.doi.org/10.3390/s23031104

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