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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |