A hybrid physics-informed algorithm detects friction anomalies in satellite reaction wheels by extracting features via changepoint detection and classifying status with a simulator-trained model, achieving around 95% accuracy.
Low V elocity Fricti on Compen- sation and Feedforward Solution based on Repetitive Contro l
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Physics-Informed Detection of Friction Anomalies in Satellite Reaction Wheels
A hybrid physics-informed algorithm detects friction anomalies in satellite reaction wheels by extracting features via changepoint detection and classifying status with a simulator-trained model, achieving around 95% accuracy.