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Abstract

A computer-implemented method for building a diagnostic module for a physical system includes obtaining simulated healthy measurements by a physics-based simulation model of the physical system from measured input excitations to the physical system. The method includes training a generator model to generate realistic healthy measurements from the simulated healthy measurements and the measured input excitations, the training involving tuning the generator model based on an error between a generated realistic healthy measurement and a corresponding real measurement obtained from the physical system in response to each input excitation. The trained generator model is used to generate realistic faulty measurement data from simulated faulty measurements obtained by the physics-based simulation model. The method includes training a classification model using a training dataset augmented by the realistic faulty measurement data generated by the generator model, to be able to predict health of the physical system during operation

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