• DocumentCode
    1007180
  • Title

    Sensor failure estimators for detection filters

  • Author

    Piercy, Neil P.

  • Author_Institution
    Rolls Royce plc., Derby, UK
  • Volume
    37
  • Issue
    10
  • fYear
    1992
  • fDate
    10/1/1992 12:00:00 AM
  • Firstpage
    1553
  • Lastpage
    1558
  • Abstract
    The processing of (detection filter residuals) in order to detect and identify sensor failures is considered. Simple projection techniques are shown to be inefficient, so a single sensor failure-tracking estimator is derived. This estimation filter uses the planar nature of the detection filter residuals resulting from a sensor failure to improve the performance of both the detection and identification of failures. The performance improvement is illustrated using data from a simplified model of a turbofan engine
  • Keywords
    failure analysis; filtering and prediction theory; signal detection; failure detection; failure identification; sensor failure-tracking estimator; turbofan engine; Actuators; Engines; Equations; Failure analysis; Fault detection; Filters; Sensor systems; State estimation; Transmission line matrix methods; Vectors;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.256418
  • Filename
    256418