• DocumentCode
    1696380
  • Title

    Modeling and fault diagnosis for coupled-tank based on rough set theory

  • Author

    Yun, Gao

  • Author_Institution
    Sch. of Electr. & Control Eng., Xi´´an Univ. of Sci. & Technol., Xi´´an, China
  • fYear
    2010
  • Firstpage
    5702
  • Lastpage
    5707
  • Abstract
    Applying the rough set theory (RST), the available knowledge or rules can be extracted from original data. According to this idea, an original information table is constructed by the sampling data from a coupled-tank system, the rule set of the model is obtained through processing of discretization, reduction of condition attributes, rides extraction, completization, and so on. The rough set model (RSM) of the system is designed and verified. Testing results state that the RSM built is valid. It can be used to detect a fault of the coupled-tank system, and the detecting result is given out.
  • Keywords
    fault diagnosis; knowledge acquisition; rough set theory; condition attributes; coupled-tank system; fault diagnosis; rides extraction; rough set theory; coupled-tank; fault diagnosis; rough set model; rough set theory; rule set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554782
  • Filename
    5554782