Abstract
Electrical capacitance tomography (ECT) is a non-invasive imaging technique which is used to acquire information about the spatial material distribution of inaccessible objects in order to monitor industrial processes such as two-phase flow fields in the oil industry. In this contribution, the application of a particle filter (PF) to solve the inverse ECT problem is proposed. PFs offer the possibility to tackle time varying objects during the reconstruction task given uncertain measurements. By implementing a filter bank, the merging and splitting of bubbles which is frequently encountered in dynamic flow processes is taken into account. The novelty of the proposed sensor lies in the multimodal state-space representation that includes object motion and dynamic contours and is able to cover a variety of physically meaningful transitions. The signal processing algorithm is validated using measured data
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
