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Robust Multivariate Detection and Estimation with Fault Frequency Content Information
This paper studies the problem of fault detection and estimation (FDE) for LTI systems with a particular focus on frequency content information for the faults, possibly as a continuum range, and under both disturbances and stochastic noise.
Training Strategies for Autoencoder-based Detection of False Data Injection Attacks
The security of energy supply in a power grid critically depends on the ability to accurately estimate the state of the system.
Detection of False Data Injection Attacks Using the Autoencoder Approach
State estimation is of considerable significance for the power system operation and control.
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