• DocumentCode
    2849858
  • Title

    The fault monitoring and simulation research of large generator

  • Author

    Minzhen, Wang

  • Author_Institution
    Comput. Center, Changchun Inst. of Technol., Changchun, China
  • fYear
    2012
  • fDate
    24-27 June 2012
  • Firstpage
    48
  • Lastpage
    51
  • Abstract
    In this paper, a fault detection technology to large generating units was investigated. It proposed a fault diagnosis approach for large generator based on information fusion technology. This method monitors fault for large generating units by multi-sensor, realizes feature extraction of fault and obtains independent evidence with each other, so as to achieve the accurate diagnosis to the fault of large generating units. The simulation results indicated that using fault diagnosis approach based on information fusion effectively improved the diagnostic accurate of the fault of large generating units, and increased the confidence of the results of fault diagnosis.
  • Keywords
    electric generators; fault diagnosis; feature extraction; fault accurate diagnosis; fault detection technology; fault feature extraction; fault monitoring research; fault simulation research; information fusion; large generating units; large generator; multisensor; Reliability; Uncertainty; digital filtering; fault monitoring; information fusion; parameter identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-2363-5
  • Type

    conf

  • DOI
    10.1109/EEESym.2012.6258584
  • Filename
    6258584