The experimental signals analysis for bubbly oil-in-water flow using multi-scale weighted-permutation entropy

Xin Chen, Ning-De Jin, An Zhao, Zhong-Ke Gao, Lu-Sheng Zhai and Bin Sun

Physica A: Statistical Mechanics and its Applications, 2015, vol. 417, issue C, 230-244

Abstract: We firstly combine multi-scale method (MS) and weighted-permutation entropy (WPE) to analyze chaotic, noisy, and fractal time series, and find that MSWPE can distinguish different nonlinear time series and exhibit a better robustness in the presence of higher levels of noise, a task that multi-scale permutation entropy (MSPE) fails to work. We then apply MSWPE to analyze the signals from vertical upward oil-in-water two-phase flow experiments. Our results suggest that the change rate of MSWPE enables to characterize the transition of flow patterns and multi-scale weighted-permutation entropy allows indicating the discrepancy of complexity of oil-in-water two-phase flow.

Keywords: Bubbly oil-in-water flow; Flow pattern; Nonlinear dynamics; Multi-scale weighted-permutation entropy (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437114008267
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:417:y:2015:i:c:p:230-244

DOI: 10.1016/j.physa.2014.09.058

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().