Preprint
Aug 2026
Fault detection on manifolds of nonlinear dynamical systems with dual autoencoders
A mathematical representation of the output data is developed using Koopman operator theory, which motivates their embedding on a manifold and its subsequent approximation with a two-stage autoencoder, which provides favorable fault-detection performance compared with standard autoencoders.
Bulut Kuskonmaz, Szymon Gres, Rafał Wiśniewski
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