• DocumentCode
    2914342
  • Title

    A new failure detection method and its application in leak monitor of pipeline

  • Author

    Li, Junhua ; Liu, Wenbai ; Sun, Zhaochen ; Cui, Li

  • Author_Institution
    Coll. of Ocean Environ. & Eng., Shanghai Maritime Univ., Shanghai
  • fYear
    2008
  • fDate
    17-20 Dec. 2008
  • Firstpage
    1178
  • Lastpage
    1182
  • Abstract
    A new failure detection method for abrupt change based on ESPRT (extended sequential probability ratio test) and innovation theory is presented in this paper. This method realizes non-parameters detection by utilizing ESPRT to detect the innovation process generating in the innovation model, which enlarge the applicability of ESPRT. The paper establishes the innovation model by employing the nonlinear time series based on BP neural network and the leakage detection model of long pipe. The validity of the proposed method is verified by experiments. The results indicate that this method can detect leakage in real time.
  • Keywords
    backpropagation; failure analysis; leak detection; neurocontrollers; pipelines; statistical testing; time series; BP neural network; extended sequential probability ratio test; failure detection; innovation model; innovation theory; leak monitor; leakage detection model; nonlinear time series; nonparameters detection; pipeline; Automatic control; Computerized monitoring; Condition monitoring; Leak detection; Pipelines; Robot control; Robot vision systems; Robotics and automation; Sequential analysis; Technological innovation; innovation; leakage detection; pipeline; sequential test;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
  • Conference_Location
    Hanoi
  • Print_ISBN
    978-1-4244-2286-9
  • Electronic_ISBN
    978-1-4244-2287-6
  • Type

    conf

  • DOI
    10.1109/ICARCV.2008.4795688
  • Filename
    4795688