Mutual information-based feature selection for inverse mapping parameter updating of dynamical systems
Bas M. Kessels,
Rob H. B. Fey,
Nathan van de Wouw
Abstract:A digital twin should be and remain an accurate model representation of a physical system throughout its operational life. To this end, we aim to update (physically interpretable) parameters of such a model in an online fashion. Hereto, we employ the Inverse Mapping Parameter Updating (IMPU) method which uses an Artificial Neural Network (ANN) to map features, extracted from measurement data, to parameter estimates. This is achieved by training the ANN offline on simulated data, i.e., pairs of known parameter … Show more
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