Abstract

In this work, Bayesian inversion framework is tested on synthetic microwave tomography data at a single frequency in X-band (8 GHz to 12 GHz). The imaging modality is applied to estimate the moisture content distribution in a polymer foam. Such estimations are imperative to develop intelligent and efficient industrial drying systems. Three test cases of low, high, and homogeneous wet basis moisture distribution scenarios are considered. In addition, the generalization capabilities of the Bayesian inversion framework for non-smooth moisture distribution case is discussed. Good estimation results are obtained for the given moisture scenarios.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.