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