• DocumentCode
    2675082
  • Title

    Fault detection in a class of hybrid system

  • Author

    Rizvi, M.A. ; Bhatti, A.I. ; Butt, Q.R.

  • Author_Institution
    Electron. Eng. Dept., Mohammad Ali Jinnah Univ., Islamabad, Pakistan
  • fYear
    2009
  • fDate
    19-20 Oct. 2009
  • Firstpage
    130
  • Lastpage
    135
  • Abstract
    This paper presents the mathematical abstraction for detecting faults in a class of MIMO system where inputs are acting in a specific cyclic sequence to produce the output using hybrid modeling. Based on the proposed mathematical abstraction an algorithm is proposed for the detection of faults in these systems. The method is then applied for the problem of misfire fault detection in spark ignition engines and simulation results are provided with noise added in data.
  • Keywords
    MIMO systems; electric ignition; engines; fault simulation; MIMO system; fault detection; hybrid system; mathematical abstraction; noise; spark ignition engines; specific cyclic sequence; Actuators; Engine cylinders; Fault detection; Fault diagnosis; Fluctuations; Ignition; MIMO; Power system modeling; Sparks; Steady-state; Fault Diagnosis; Hybrid Systems; Mean value model; Misfire; SI Engine; component;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies, 2009. ICET 2009. International Conference on
  • Conference_Location
    Islamabad
  • Print_ISBN
    978-1-4244-5630-7
  • Electronic_ISBN
    978-1-4244-5631-4
  • Type

    conf

  • DOI
    10.1109/ICET.2009.5353187
  • Filename
    5353187