• DocumentCode
    3015956
  • Title

    Estimation of thermo-hydrodynamic parameters in energy production systems using non-stationary signal processing

  • Author

    Birleanu, F.M. ; Ioana, C. ; Serbanescu, A. ; Serban, G. ; Sofron, E.

  • Author_Institution
    Images-Signal Dept., Grenoble INP - GIPSA-Lab., Grenoble, France
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    1353
  • Lastpage
    1356
  • Abstract
    In order to control water flow in power generation systems, obtaining precise information about the parameters of the flow is important. The construction of such systems, as well as the operating conditions, impose the use of non-intrusive techniques. The use of ultrasounds allows solving this problem in a simple and elegant manner. The technique consists in sending a signal to be affected by the flow without sensibly interacting with it, and then extracting the desired parameters of the flow from the received signal. The paper first presents how the acoustic wave is altered by the propagation in the liquid environment, and then it studies the means to analyze the received signal in order to obtain from it information about two important parameters of the flow - the temperature of the water and the flow rate. Polynomial phase modeling is used, for obtaining a good estimation of the propagation times.
  • Keywords
    convection; electric power generation; power system parameter estimation; signal processing; acoustic wave; energy production system; non-intrusive technique; nonstationary signal processing; polynomial phase modeling; power generation system; thermo-hydrodynamic parameter estimation; Acoustics; Atmospheric measurements; Estimation; Fluids; Particle measurements; Polynomials; Temperature measurement; Non-intrusive measurement; polynomial phase modeling; temperature and flow rate estimation; ultrasounds;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-9722-5
  • Type

    conf

  • DOI
    10.1109/ACSSC.2010.5757753
  • Filename
    5757753