• DocumentCode
    2752831
  • Title

    Fault Diagnosis of Reverse Osmosis System for Chemical Water Treatment in Power Plant Based on FMEA and Rough Set Theory

  • Author

    Dong, Yuliang ; Gu, Yujiong ; Li, Yaqiong ; Yang, Kun

  • Author_Institution
    Key Lab. of Condition Monitoring & Control for Power Plant Equip. of Minist. of Educ., North China Electr. Power Univ., Beijing
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    5572
  • Lastpage
    5576
  • Abstract
    Aiming at the problem of redundant symptoms and incomplete information when diagnosing the fault of reverse osmosis system for chemical water treatment in power plant using the result of failure mode and effect analysis. A fault diagnosis method of RO system is proposed based on rough set theory. By analyzing the classical failure modes of RO system, fault diagnosis decision table is built, then fault symptom attributes reduction is made, and the fault diagnosis rules are gained. An instance analysis of a RO system is made, the result shows that this method is feasible and effective and can fulfil the fault diagnosis of RO system and can be a support for making decision for cleaning and maintenance
  • Keywords
    decision tables; failure analysis; fault diagnosis; osmosis; power plants; rough set theory; water treatment; chemical water treatment; failure mode and effect analysis; fault diagnosis decision table; fault symptom attributes reduction; power plant; reverse osmosis system; rough set theory; Chemical analysis; Condition monitoring; Control systems; Failure analysis; Fault diagnosis; Information analysis; Laboratories; Power generation; Reverse osmosis; Set theory; FMEA; chemical water treatment; fault diagnosis; reverse osmosis system; rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1714140
  • Filename
    1714140