Improving Spacecraft Health Monitoring with Automatic Anomaly Detection Techniques-Reference-Cited by-同舟云学术

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Improving Spacecraft Health Monitoring with Automatic Anomaly Detection Techniques

Published:2016-05-13 Issue: Volume: Page:
ISSN:
Container-title:SpaceOps 2016 Conference
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Author:

Fuertes Sylvain¹,Picart Gilles¹,Tourneret Jean-Yves²,Chaari Lotfi²,Ferrari André³,Richard Cédric³

Affiliation:

1. French Space Agency (CNES)

2. University of Toulouse

3. University of Nice, Sophia Antipolis

Publisher

American Institute of Aeronautics and Astronautics

Link

http://arc.aiaa.org/doi/pdf/10.2514/6.2016-2430

Reference8 articles.

1. Statistical pattern recognition: a review

2. On Estimation of a Probability Density Function and Mode

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1. Unveiling Anomalies: A Review of Anomaly Detection Through Lens of Explainable AI;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18

2. Explainable anomaly detection in spacecraft telemetry;Engineering Applications of Artificial Intelligence;2024-07

3. Lean Demonstration of On-Board Thermal Anomaly Detection Using Machine Learning;Aerospace;2024-06-27

4. Real-Time Anomaly Detection and Categorization for Satellite Reaction Wheels;2024 European Control Conference (ECC);2024-06-25

5. Anomaly detection for space information networks: A survey of challenges, techniques, and future directions;Computers & Security;2024-04

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