GTAD: Graph and Temporal Neural Network for Multivariate Time Series Anomaly Detection

The rapid development of smart factories, combined with the increasing complexity of production equipment, has resulted in a large number of multivariate time series that can be recorded using sensors during the manufacturing process. The anomalous patterns of industrial production may be hidden by...

Descripción completa

Detalles Bibliográficos
Autores principales: Guan, Siwei, Zhao, Binjie, Dong, Zhekang, Gao, Mingyu, He, Zhiwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222957/
https://www.ncbi.nlm.nih.gov/pubmed/35741480
http://dx.doi.org/10.3390/e24060759

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222957/
https://www.ncbi.nlm.nih.gov/pubmed/35741480
http://dx.doi.org/10.3390/e24060759

Ejemplares similares