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

Content Provider	IEEE Xplore Digital Library
Author	Birleanu, F. Ioana, C. Serbanescu, A. Serban, G. Sofron, E.
Copyright Year	2010
Description	Author affiliation: Grenoble INP - GIPSA-lab, Images-Signal Department, FRANCE (Birleanu, F.; Ioana, C.) \|\| University of Pitesti, ROMANIA (Serban, G.; Sofron, E.) \|\| Military Technical Academy, Bucharest, ROMANIA (Serbanescu, A.)
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.
Starting Page	1353
Ending Page	1356
File Size	1164517
Page Count	4
File Format	PDF
ISBN	9781424497225
ISSN	10586393
e-ISBN	9781424497218
DOI	10.1109/ACSSC.2010.5757753
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature measurement Estimation Polynomials Acoustics Particle measurements Atmospheric measurements Fluids polynomial phase modeling Non-intrusive measurement ultrasounds temperature and flow rate estimation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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