• DocumentCode
    3534479
  • Title

    A distributed detection and isolation scheme for multiple sensor faults in interconnected nonlinear systems

  • Author

    Reppa, Vasso ; Polycarpou, Marios M. ; Panayiotou, Christos G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Cyprus, Nicosia, Cyprus
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    4991
  • Lastpage
    4996
  • Abstract
    This paper presents a distributed methodology for detecting and isolating multiple sensor faults in interconnected nonlinear systems. For each of the interconnected subsystems, a corresponding Local Sensor Fault Diagnosis (LSFD) agent is designed, which is allowed to exchange information with neighboring LSFD agents. The decisions of the LSFD agents are integrated and processed by a Global Sensor Fault Diagnosis (GSFD) agent in order to isolate multiple sensor faults propagating between neighboring LSFD agents through information exchange. The combined local and global isolation decision logic is designed based on diagnostic reasoning, taking into account the effects of sensor faults in the local sensor set and the transmitted faulty sensor information on the agents´ decisions.
  • Keywords
    diagnostic reasoning; fault diagnosis; interconnected systems; nonlinear control systems; sensors; GSFD agent; LSFD agent; diagnostic reasoning; distributed detection scheme; distributed isolation scheme; faulty sensor information; global sensor fault diagnosis agent; information exchange; interconnected nonlinear systems; interconnected subsystems; isolation decision logic; local sensor fault diagnosis agent; multiple sensor faults detection; multiple sensor faults isolation; Adaptation models; Cognition; Europe;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760672
  • Filename
    6760672