From Theory to Practice: Operational Implementation of Telemetry Outlier Detection at EUMETSAT
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-94628-9_11
Reference8 articles.
1. Martínez-Heras J, Donati A, Kirsch MGF, Schmidt F (2012) New telemetry monitoring paradigm with novelty detection. In: SpaceOps Conference, AIAA, Stockholm, Sweden, pp 11–15.https://doi.org/10.2514/6.2012-1275123
2. O'Meara C, Schlagy L, Faltenbacher L, Wicklerz M (2016) ATHMoS: automated telemetry health monitoring system at GSOC using outlier detection and supervised machine learning. In:14th International conference on space operations. https://doi.org/10.2514/6.2016-2347
3. Trollope E, Dyer R, Francisco S, Miller J, Griso MP, Argemandy A (2018) Analysis of automated techniques for routine monitoring and contingency detection of in-flight LEO operations at EUMETSAT”. In: SpaceOps Conference 2018, AIAA, Marseille, France, 2532p. https://doi.org/10.2514/6.2018-2532
4. Ramaswamy S, Rastogi R, Shim K (2000) Efficient algorithms for mining outliers from large data sets. In: Conference: proceedings of the 2000 ACM SIGMOD international conference on management of data, 16–18 May 2000, Dallas, Texas, USA
5. Martínez-Heras J, Boumghar R, Donati A (2016) Log novelty detection system. In: SpaceOps conference 2016, AIAA, Daejeon, Korea, 2432p. https://doi.org/10.2514/6.2016-2432
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