Paper Title:
Research on Processing of Signals and Images of Critical Heat Flux in Natural Circulation Based on Wavelet Transform and Edge Detection
  Abstract

Based on the experimental data acquired from natural circulation experiment, critical heat flux (CHF) was detected through applying Fourier transform and wavelet transform firstly. Then, the technology of edge detection was applied in detecting CHF regions under different heating powers from the photos which were taken in experiment. Results showed that wavelet transform could detect the occurrence of CHF much more accurate than Fourier transform. The apply of wavelet transform using of db1 wavelet and edge detection technology using of Canny algorithm could accurately distinguish the singularity of CHF in one-dimensional temperature signal and dry patch regions that represented CHF phenomena in two-dimensional photographs respectively, which can provide a new approach in the analysis of CHF experimental studies of natural circulation.

  Info
Periodical
Chapter
Chapter 8: Measurement
Edited by
Paul P. Lin and Chunliang Zhang
Pages
2000-2004
DOI
10.4028/www.scientific.net/AMM.105-107.2000
Citation
C. Sheng, T. Zhou, D. X. Hong, "Research on Processing of Signals and Images of Critical Heat Flux in Natural Circulation Based on Wavelet Transform and Edge Detection", Applied Mechanics and Materials, Vols. 105-107, pp. 2000-2004, 2012
Online since
September 2011
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Price
$32.00
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Authors: Cheng Sheng, Tao Zhou
Chapter 2: Thermal Engineering
Abstract:Based on the experimental data obtained in natural circulation experiment in narrow rectangular channel, critical heat flux (CHF) was...
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