Abstract
One of the major tasks in multi-phase flow detection is solid component fraction calculation. According to the Electrical Resistance Tomography (ERT) measurement, the mainstream method is to use Maxwell-Garnett formula to derive solid component fraction of multi-phase flow from conductivity. In dredging engineering fields, measurement data of multiphase flows in horizontal and vertical ducts is typically obtained by two sensor planes.However, the estimated solid component fraction remains rather inaccurate due to linear back projection (LBP) algorithm limitation, and noisy data on the available ERT measurements in most cases.In this paper, we proposed a new solid component fraction estimation method according to Kalman filter and ERT. This new method uses the complementarity of dual sensor data to improve measurement accuracy. Facing the real needs in dredging engineering fields, solid component fraction of the typical flow were tested. The results validate our proposed methods in a series of typical flow conditions.
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.
