• DocumentCode
    3743555
  • Title

    Detection of drift sensor faults in a class of nonlinear uncertain systems

  • Author

    Yilun Zhou;Thomas Parisini;Marios M. Polycarpou

  • Author_Institution
    Imperial College London, UK
  • fYear
    2015
  • Firstpage
    3169
  • Lastpage
    3174
  • Abstract
    The paper presents a drift sensor fault detection scheme for a class of nonlinear uncertain system with partially measurable state variables. A rigorous fault detectability and detection-time interval analysis is illustrated. Moreover, the set of detectable sensor faults is characterized using off-line information and an upper bound on the fault detection interval is derived. Finally, a monotonicity property of the detection-time interval upper bound with respect to the magnitude of sensor faults is presented.
  • Keywords
    "Fault detection","Estimation error","Upper bound","Uncertainty","Uncertain systems","Fault diagnosis","Mathematical model"
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
  • Type

    conf

  • DOI
    10.1109/CDC.2015.7402694
  • Filename
    7402694