DocumentCode :
557798
Title :
Chaotic recurrence characteristics analysis of information entropy of gas-liquid two phase flow image
Author :
Hong, Wen Peng ; Wang, Xuan Yu ; Teng, Fei Yu ; Liu, Yan
Author_Institution :
Energy & Power Eng. Sch., Northeast Dianli Univ., Jilin, China
Volume :
4
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
2052
Lastpage :
2055
Abstract :
Based on the high speed camera collection of three kinds of flow patterns between tube bundles of images, extracting flow patterns image of information entropy sequence, used the recurrence analytic method to study the gas-liquid two phase flow different flow pattern and transitional flow dynamics characteristics of type entropy sequence. The results of the study indicate that: entropy sequence of recursive structure is different of different flow pattern image. Transitional flow type image of entropy sequence recursive structure evolve the change process flow pattern clearly. The recurrence structure plot of information entropy sequence can reflect the flow pattern evolution mechanism well, and the recurrence characteristic quantity is sensitive along with the gas phase conversion speed of flow change, provides a kind of auxiliary tool for the study of gas-liquid two-phase flow pattern.
Keywords :
cameras; chaos; entropy; feature extraction; flow visualisation; image sequences; mechanical engineering computing; pipe flow; two-phase flow; chaotic recurrence characteristics analysis; flow pattern evolution mechanism; flow pattern image extraction; gas phase conversion speed; gas-liquid two phase flow image pattern; high speed camera; information entropy sequence; recursive structure entropy sequence; transitional flow dynamics characteristics; transitional flow type image; Chaos; Chemical industry; Electron tubes; Entropy; Information entropy; Periodic structures; Time series analysis; flow patterns; gas-liquid two-phase flow; image information entropy; recurrence plot; tube bundle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
Type :
conf
DOI :
10.1109/CISP.2011.6100529
Filename :
6100529
Link To Document :
بازگشت