• DocumentCode
    3503391
  • Title

    The improved grey correlation fault diagnosis for oil pumping well

  • Author

    Xiufang Wang ; Chuang Guan ; Running Gao

  • Author_Institution
    Sch. of Electr. Eng. & Inf., Northeast Pet. Univ., Daqing, China
  • Volume
    02
  • fYear
    2013
  • fDate
    16-18 Aug. 2013
  • Firstpage
    1184
  • Lastpage
    1187
  • Abstract
    Grey correlation fault diagnosis of oil pumping well though indicator diagram is the simple and practicable method at present. But it is easy to lead misjudgment of some failures whose geometric characteristics are similar. In order to solve this problem, weighted entropy is introduced into this paper. In this method weighted value is calculated by the information entropy of each fault feature vector, so the minor differences are enlarged, which can reduces the rate of mistakes. It is proved that through field experimental this method can effectively reduce the misjudgment of similar failures, and it can also improve the diagnostic accuracy.
  • Keywords
    condition monitoring; entropy; fault diagnosis; fuel pumps; geometry; grey systems; oil technology; diagnostic accuracy; failure misjudgment; fault feature vector; geometric characteristics; grey correlation fault diagnosis; indicator diagram; information entropy; oil pumping well; weighted entropy; weighted value; Extraterrestrial measurements; Gray-scale; Pistons; Valves; Fault feature vector; Grey correlation; Indicator diagram; Information entropy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement, Information and Control (ICMIC), 2013 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-1390-9
  • Type

    conf

  • DOI
    10.1109/MIC.2013.6758170
  • Filename
    6758170