• DocumentCode
    337780
  • Title

    Fault detection of redundant sensors used in reliable sampled-data control systems

  • Author

    Suyama, Koichi

  • Author_Institution
    Tokyo Univ. of Mercantile Marine, Japan
  • Volume
    1
  • fYear
    1998
  • fDate
    1998
  • Firstpage
    1161
  • Abstract
    Suyama and Zhang (1997) and Suyama (1998) presented a new reliable control system using decision by majority among redundant sensors with tolerance against sensor failures. It solves some questions of the conventional reliable control without loss of the advantage that explicit and urgent sensor failure detection is not needed. Even in this system, sensor failure detection is needed for avoiding simultaneous failures in each sensor set so that decision by majority functions effectively. It is difficult to detect the first sensor failure because the stability and the performance of the proposed system is expected not to deteriorate when one sensor is out of order. This paper presents new fault detection mechanism for redundant sensors used in the system, which is derived from making the best use of the characteristics of decision by majority. In a new framework of tolerance against sensor failures by the proposed system with the fault detection mechanism, urgent measures against sensor failures are taken by decision by majority, when the mechanism detects them
  • Keywords
    fault diagnosis; redundancy; reliability theory; sampled data systems; fault detection; majority decision; redundant sensors; reliable sampled-data control systems; sensor failure tolerance; stability; Control systems; Design methodology; Etching; Fault detection; Loss measurement; Out of order; Sensor phenomena and characterization; Sensor systems; Stability; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4394-8
  • Type

    conf

  • DOI
    10.1109/CDC.1998.760855
  • Filename
    760855