Innovative ML-based Methods for Automated On-board Spacecraft Anomaly Detection
Authors:
- 17 June 2023
- book chapter
- Published by Springer Nature
- p. 213-228
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Attitude Control Simulator for the Korea Pathfinder Lunar OrbiterLecture Notes in Electrical Engineering, 2019
- An Industrial Case Study Using Vibration Data and Machine Learning to Predict Asset Health2018
- Roadmap for On-Board Processing and Data Handling Systems in Space2017
- Anomaly detection of spacecraft based on least squares support vector machine2011
- Anomaly Detection for Next-Generation Space Launch Ground Operations2010
- Anomaly detectionACM Computing Surveys, 2009
- Estimating the Support of a High-Dimensional DistributionNeural Computation, 2001
- LOF2000
- The Nature of Statistical Learning Theory2000
- Least squares quantization in PCMIEEE Transactions on Information Theory, 1982