• DocumentCode
    486836
  • Title

    Use of Kalman Filters in Data Compression of Gas Transmission Pipeline Data

  • Author

    Gordon, E. ; Lehmann, B.O. ; Stacklin, C.A.

  • Author_Institution
    FLUOR TECHNOLOGY, INC.
  • fYear
    1986
  • fDate
    18-20 June 1986
  • Firstpage
    2066
  • Lastpage
    2067
  • Abstract
    Modern pipeline Remote Telemetry Units (RTU´s) do a superb job of destroying the information content of the data they process as long as they are using the Zero Order Predictor Algorithm for data compression. That algorithm is also known as Report by Exception. All that gets through are randomly biased estimates of how pressures and flow rates change with time. With a Kalman Filter, the RTU´s can provide more accurate, unbiased estimates of the quantities being measured as well as their rate of change with time.
  • Keywords
    Clouds; Data compression; Data mining; Delay; Pipelines; Prediction algorithms; Redundancy; Satellites; Telemetry; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1986
  • Conference_Location
    Seattle, WA, USA
  • Type

    conf

  • Filename
    4789270