• DocumentCode
    1593983
  • Title

    Soft Sensor Modeling for the Vacuum Characteristics of a Direct Air-Cooled Turbine Unit by Using Mechanism Analysis

  • Author

    Zhao Chun ; Wang Peihong ; Xu Yin

  • Author_Institution
    Southeast Univ. of Energy & Environ., Nanjing, China
  • fYear
    2012
  • Firstpage
    525
  • Lastpage
    528
  • Abstract
    To establish soft sensor model for the vacuum characteristics of a direct air-cooled turbine unit (DATU), the heat-transfer-unit method was applied on the based of the heat transfer mechanism model in this study. The proposed soft sensor model consists of a three-step strategy as follows. Firstly, the rule of fouling resistance (FR) outside tube was studied, and a new algorithm was presented by using the correction coefficient of FR outside tube to the linear correction of heat transfer coefficient. Secondly, the parallel operation characteristics of air-cooled fans were analyzed. Finally, the established soft sensor model was validated with the test data. In addition, the vacuum characteristics of the DATU were analyzed. These realize the predictive analysis of the vacuum characteristics of the DATU and lay a good foundation for the further study on the optimization of fans in the vacuum system.
  • Keywords
    fans; heat transfer; optimisation; wind turbines; DATU; FR; air-cooled fans; correction coefficient; direct air-cooled turbine unit; fouling resistance; heat transfer coefficient; heat-transfer-unit method; mechanism analysis; parallel operation characteristics; predictive analysis; soft sensor modeling; vacuum characteristics; DATU; Heat Transfer Coefficient Correction; Soft Sensor Model; Vacuum Characteristics; the Parallel Operation Characteristics of Air-Cooled Fans;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-1-4577-2120-5
  • Type

    conf

  • DOI
    10.1109/ISdea.2012.566
  • Filename
    6173259