• DocumentCode
    1269742
  • Title

    Optimal parity vector sensitive to designated sensor fault

  • Author

    Jin, Hong ; Zhang, Hong Yue

  • Author_Institution
    Beijing Univ. of Aeronaut. & Astronaut., China
  • Volume
    35
  • Issue
    4
  • fYear
    1999
  • fDate
    10/1/1999 12:00:00 AM
  • Firstpage
    1122
  • Lastpage
    1128
  • Abstract
    Based on the parity space construction and the orthogonal constraint condition of parity vector, the approach of fault detection and isolation using optimal parity vector is presented. Its main idea is to design a performance criterion similar to the criterion presented by Zhang and Patton (1993), but most sensitive to the designated sensor´s fault and least sensitive to other sensor´s fault and unknown inputs such as noise. Through the Monte-Carlo simulation, it is shown that the proposed approach of choosing optimal parity vector greatly increases the ability of fault detection and the effectiveness of fault isolation is better than the generalized likelihood test (GLT) approach
  • Keywords
    Monte Carlo methods; fault location; sensors; Monte-Carlo simulation; designated sensor fault; fault detection; fault isolation; generalized likelihood test; optimal parity vector; orthogonal constraint condition; parity space construction; performance criterion; unknown inputs; Automatic control; Covariance matrix; Equations; Extraterrestrial measurements; Fault detection; Noise measurement; Robustness; Sensor systems; State-space methods; System testing;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/7.805431
  • Filename
    805431