• DocumentCode
    2891418
  • Title

    Data based modeling for PEM fuel cell monitoring — a test bench application, Part II

  • Author

    Schrems, Andrea ; Pichler, Kurt ; Wahlmüller, Ewald

  • Author_Institution
    Inst. for Design & Control of Mechatronical Syst., Johannes Kepler Univ., Linz
  • fYear
    2008
  • fDate
    3-5 Sept. 2008
  • Firstpage
    256
  • Lastpage
    261
  • Abstract
    In part II of this paper two important methods for the monitoring procedure of the fuel cell (part I) are presented. First, a time delay estimation method, which allows a better data based modeling of the underlying fuel cell system. Second, the sequential probability ratio test (SPRT) which improves the fault detection results concerning over-detection and reliability. For the time delay estimation method using mutual information a minimum search algorithm is discussed, because the easy approach of a global minimum does not always guarantee a real time delay. The challenge for the SPR test is the design of a probability density function without having prior knowledge about the process.
  • Keywords
    delays; fault diagnosis; probability; proton exchange membrane fuel cells; search problems; PEM fuel cell monitoring; data based modeling; fault detection; minimum search algorithm; monitoring procedure; probability density function; sequential probability ratio test; time delay estimation method; Delay effects; Delay estimation; Electrical fault detection; Fault detection; Fuel cells; Monitoring; Mutual information; Power system modeling; Testing; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 2008. CCA 2008. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    978-1-4244-2222-7
  • Electronic_ISBN
    978-1-4244-2223-4
  • Type

    conf

  • DOI
    10.1109/CCA.2008.4629654
  • Filename
    4629654