• DocumentCode
    2376225
  • Title

    Improving Model-Based Gas Turbine Fault Diagnosis Using Multi-Operating Point Method

  • Author

    Salar, Amin ; Hosseini, SeyedMehrdad ; Sedigh, Ali Khaki ; Zangmolk, Behnam Rezaei

  • Author_Institution
    Dept. of Electr. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran
  • fYear
    2010
  • fDate
    17-19 Nov. 2010
  • Firstpage
    240
  • Lastpage
    247
  • Abstract
    A comprehensive gas turbine fault diagnosis system has been designed using a full nonlinear simulator developed in Turbotec company for the V94.2 industrial gas turbine manufactured by Siemens AG. The methods used for detection and isolation of faulty components are gas path analysis (GPA) and extended Kalman filter (EKF). In this paper, the main health parameter degradations namely efficiency and flow capacity of the compressor and turbine sections are estimated and the responsible physical faults such as fouling and erosion are found. Two approaches are tested: The single-operating point and the multi-operating point. Simulation results show good estimations for diagnosis of most of the important degradations in the compressor and turbine sections for the single-point and improved estimations for the multi-point approach.
  • Keywords
    Kalman filters; condition monitoring; fault diagnosis; gas turbines; EKF; Turbotec; erosion; extended Kalman filter; fault detection; fault diagnosis system; fault isolation; fouling; gas path analysis; gas turbines; multioperating point method; extended Kalman filter; fault diagnosis; gas turbine; monitoring; simulator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modeling and Simulation (EMS), 2010 Fourth UKSim European Symposium on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-1-4244-9313-5
  • Electronic_ISBN
    978-0-7695-4308-6
  • Type

    conf

  • DOI
    10.1109/EMS.2010.47
  • Filename
    5703690