DCFF-MTAD: A Multivariate Time-Series Anomaly Detection Model Based on Dual-Channel Feature Fusion

The detection of anomalies in multivariate time-series data is becoming increasingly important in the automated and continuous monitoring of complex systems and devices due to the rapid increase in data volume and dimension. To address this challenge, we present a multivariate time-series anomaly de...

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Detalles Bibliográficos
Autores principales: Xu, Zheng, Yang, Yumeng, Gao, Xinwen, Hu, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142265/
https://www.ncbi.nlm.nih.gov/pubmed/37112251
http://dx.doi.org/10.3390/s23083910

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142265/
https://www.ncbi.nlm.nih.gov/pubmed/37112251
http://dx.doi.org/10.3390/s23083910

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