• DocumentCode
    3477335
  • Title

    The advanced sensor applied to the dust-charged detection

  • Author

    Maoyong Cao ; XueZhen Cheng ; Yu Hong

  • Author_Institution
    Shandong Univ. of Sci. & Technol., Qingdao, China
  • fYear
    2013
  • fDate
    3-5 June 2013
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    In this paper, a detection sensor is designed. The mathematics and simulation models based on the charge induction mechanism are built. The characteristics of the sensor are developed by using the finite-element method. A method combined by GA (genetic algorithm) and ANSYS is introduced to analyses the optimal sensitive response. The performance has been evaluated. And the device with three probe scales in series illustrates that the dimension of the device is the most sensitivity issue. At same time, a new measurement system based on the differential principles with three probe device is proposed.
  • Keywords
    charge measurement; dust; electric sensing devices; finite element analysis; genetic algorithms; pollution measurement; ANSYS; GA; charge induction mechanism; dust charged detection; finite element method; genetic algorithm; mathematics model; optimal sensitive response; simulation model; Electrodes; Probes; Sociology; Statistics; combined method; finite element methods; induction; sensor; three probe scale in series device;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electron Devices and Solid-State Circuits (EDSSC), 2013 IEEE International Conference of
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/EDSSC.2013.6628171
  • Filename
    6628171