Masked Graph Neural Networks for Unsupervised Anomaly Detection in Multivariate Time Series

Anomaly detection has been widely used in grid operation and maintenance, machine fault detection, and so on. In these applications, the multivariate time-series data from multiple sensors with latent relationships are always high-dimensional, which makes multivariate time-series anomaly detection p...

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Detalles Bibliográficos
Autores principales: Xu, Kang, Li, Yuan, Li, Yixuan, Xu, Liyan, Li, Ruiyao, Dong, Zhenjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490803/
https://www.ncbi.nlm.nih.gov/pubmed/37688008
http://dx.doi.org/10.3390/s23177552

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490803/
https://www.ncbi.nlm.nih.gov/pubmed/37688008
http://dx.doi.org/10.3390/s23177552

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