• DocumentCode
    3399103
  • Title

    A Robust Fault Detection Strategy of Generator Units Based on EWMA Residual Filter

  • Author

    Chen Jun ; Yu, Yu ; Chen YongQiang

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Hubei Univ. of Technol., Wuhan, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Model-based residual directly affects the performance targets of fault detection system. An effective means of evaluating the residuals is the appropriate filter to restrain uncertain disturbances. This paper proposes a residual-based exponentially weighted moving robust fault detection strategy, and gives a EWMA (exponentially weighted moving average) robust early alarm process. Applied in water leakage fault detection of generator units, fault detection system performs well in both fast detection ability to abrupt fault and the sensitivity to the slow fault, and has good robustness.
  • Keywords
    fault diagnosis; filtering theory; hydroelectric generators; leak detection; power generation faults; statistical analysis; EWMA residual filter; early alarm process; exponentially weighted moving average; generator units; residual based exponentially weighted moving robust fault detection strategy; water leakage fault detection; Adaptation models; Educational institutions; Fault detection; Generators; Monitoring; Robustness; Sensitivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307645
  • Filename
    6307645