• DocumentCode
    2821830
  • Title

    Observable degree analysis of heavy-duty gas turbine based on svd method

  • Author

    Pu, Xingxing ; Liu, Shangming ; Jiang, Hongde

  • Author_Institution
    Key Lab. for Thermal Sci. & Power Eng. of Minist. of Educ., Tsinghua Univ., Beijing, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    6646
  • Lastpage
    6649
  • Abstract
    A new method of the observable degree analysis based on the singular value decomposition of the observable matrix was proposed. The method can be used to calculate each state´s observable degree more correctly. Two commonly used methods, condition number method and singular value decomposition method, of observable degree analysis were united, and the feature of the two methods was analyzed. The proposed method was applied to analyze the states observable degree of a heavy-duty gas turbine at different conditions, and the result can be used to assess the effectiveness of gas path fault diagnostic schemes quantitatively.
  • Keywords
    fault diagnosis; gas turbines; singular value decomposition; SVD method; gas path fault diagnostic schemes; heavy-duty gas turbine; observable degree analysis; observable matrix; singular value decomposition; state observable degree; Engines; Extraterrestrial measurements; Filtering theory; Kalman filters; Navigation; Observability; Turbines; gas path diagnosis; observable degree; singular value decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5988569
  • Filename
    5988569