Contrastive Learning with Prototype-Based Negative Mixing for Satellite Telemetry Anomaly Detection

Telemetry data are the most important basis for ground operators to assess the status of satellites in orbit, and telemetry data-based anomaly detection has become a key tool to improve the reliability and safety of spacecrafts. Recent research on anomaly detection focuses on constructing a normal p...

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Detalles Bibliográficos
Autores principales: Guo, Guohang, Hu, Tai, Zhou, Taichun, Li, Hu, Liu, Yurong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223175/
https://www.ncbi.nlm.nih.gov/pubmed/37430637
http://dx.doi.org/10.3390/s23104723

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223175/
https://www.ncbi.nlm.nih.gov/pubmed/37430637
http://dx.doi.org/10.3390/s23104723

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