A Gaussian process trained offline on nominal data detects online anomalies in dynamical systems by checking measurement compatibility against a false-positive-rate threshold.
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Model-free Anomaly Detection for Dynamical Systems with Gaussian Processes
A Gaussian process trained offline on nominal data detects online anomalies in dynamical systems by checking measurement compatibility against a false-positive-rate threshold.