• DocumentCode
    3454710
  • Title

    Research on Intelligent Diagnosis for Early Faults in Three-Phase Equipment

  • Author

    Mu-qin, Tian ; Yu-Fei, Lan ; Xiu-Fen, Lu

  • Author_Institution
    Taiyuan Univ. of Technol., Taiyuan, China
  • fYear
    2009
  • fDate
    June 30 2009-July 2 2009
  • Firstpage
    162
  • Lastpage
    165
  • Abstract
    The method of earlier stage fault intelligent prediction and diagnosis of three-phase equipments has been put forward based on expert system and neural network, by searching the parameters and signals that indicate the state of induce motor and analyzing their changing characters. Owing to the use the method, it is easy to detect early faults and separate a fault from others with the aid of powerful parallel processing and the non-linear reflective ability of intelligent measures of expert system and nerve network etc. So this realized earlier period faults intelligent diagnosis and prediction for induce motor.
  • Keywords
    AC motors; expert systems; neural nets; power engineering computing; early stage fault intelligent prediction; expert system; induce motor; intelligent diagnosis; neural network; parallel processing; three-phase equipment; Artificial intelligence; Databases; Diagnostic expert systems; Fault diagnosis; Intelligent networks; Intelligent systems; Neural networks; Pumps; Real time systems; Temperature sensors; Genetic Algorithm.; intelligent monitor; nerve network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Trends in Information and Service Science, 2009. NISS '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3687-3
  • Type

    conf

  • DOI
    10.1109/NISS.2009.41
  • Filename
    5260422