Abstract
The application of the TERT-IV system prototype by Tianjin University to identify two-phase flow regimes has been introduced. For the several typical flow regimes, the method of principal component analysis and artificial neural network to identify the two-phase flow regimes is presented, and that is proved to have higher recognition rate by experimental test. The research results show that the method is feasible using feature extraction and analysis data to identify two-phase flow regimes under different flow conditions, and prove that it is possible that on line monitor the transportation process of air/water two-phase flow using electrical resistance tomography (ERT) system.
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.
