Anomaly detection using spatial and temporal information in multivariate time series

Real-world industrial systems contain a large number of interconnected sensors that generate a significant amount of time series data during system operation. Performing anomaly detection on these multivariate time series data can timely find faults, prevent malicious attacks, and ensure these syste...

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Detalles Bibliográficos
Autores principales: Tian, Zhiwen, Zhuo, Ming, Liu, Leyuan, Chen, Junyi, Zhou, Shijie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020568/
https://www.ncbi.nlm.nih.gov/pubmed/36927733
http://dx.doi.org/10.1038/s41598-023-31193-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020568/
https://www.ncbi.nlm.nih.gov/pubmed/36927733
http://dx.doi.org/10.1038/s41598-023-31193-8

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