• DocumentCode
    475905
  • Title

    Regime recognition of two-phase pipe flow based on D-S evidence theory

  • Author

    Zhang, Fu-sheng ; Dong, Feng ; Tan, Chao ; Liu, Dong

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin
  • Volume
    1
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    100
  • Lastpage
    105
  • Abstract
    Flow regime recognition plays a fundamental role in two-phase flow measurement. Based on the characters information provided by dual-plane electrical resistance tomography (ERT) system, a method of flow regime recognition in horizontal pipe based on D-S evidence theory is brought forward. A particular way to acquire the basic probability assignment function in D-S evidence theory is introduced. Every single plane of the dual-plane ERT system has been regarded as an independent information resource. Through the fusion of features from both of the planes, less features are needed to be extracted, and better flow regime identifying result is achieved.
  • Keywords
    computational fluid dynamics; flow measurement; pipe flow; probability; tomography; two-phase flow; uncertainty handling; D-S evidence theory; dual-plane ERT system; dual-plane electrical resistance tomography system; flow regime recognition; probability assignment function; two-phase pipe flow measurement; Data mining; Electric resistance; Electric variables measurement; Electrical resistance measurement; Fluid flow; Fluid flow measurement; Machine learning; Plugs; Sensor fusion; Tomography; D-S evidence theory; Electrical resistance tomography; Flow regime recognition; Two-phase flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620386
  • Filename
    4620386