Application of sparse representation method based on K-SVD-ADMM in anomaly detection of satellite telemetry
Author:
Affiliation:
1. National University of Defense Technology,College of Systems Engineering,Changsha,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9941505/9941739/09941750.pdf?arnumber=9941750
Reference24 articles.
1. Fault prediction of bearings based on LSTM and statistical process analysis
2. Detecting Anomalies in Space using Multivariate Convolutional LSTM with Mixtures of Probabilistic PCA
3. Combining OC-SVMs With LSTM for Detecting Anomalies in Telemetry Data With Irregular Intervals
4. Anomaly Detection based on Machine Learning Dimensionality Reduction using PCA and Classification using SVM
5. Anomaly detection for satellite power subsystem with associated rules based on Kernel Principal Component Analysis
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