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

Author

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

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.

Suggested Citation

  • Chen, Xin & Jin, Ning-De & Zhao, An & Gao, Zhong-Ke & Zhai, Lu-Sheng & Sun, Bin, 2015. "The experimental signals analysis for bubbly oil-in-water flow using multi-scale weighted-permutation entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 417(C), pages 230-244.
    • Handle: RePEc:eee:phsmap:v:417:y:2015:i:c:p:230-244
    DOI: 10.1016/j.physa.2014.09.058
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    Cited by:

    1. Liu, Hongzhi & Zhang, Xingchen & Zhang, Xie, 2020. "Multiscale complexity analysis on airport air traffic flow volume time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 548(C).
    2. Zhang, Ningning & Lin, Aijing & Ma, Hui & Shang, Pengjian & Yang, Pengbo, 2018. "Weighted multivariate composite multiscale sample entropy analysis for the complexity of nonlinear times series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 595-607.
    3. Han, Yun-Feng & Jin, Ning-De & Zhai, Lu-Sheng & Ren, Ying-Yu & He, Yuan-Sheng, 2019. "An investigation of oil–water two-phase flow instability using multivariate multi-scale weighted permutation entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 518(C), pages 131-144.
    4. Niu, Hongli & Wang, Jun & Liu, Cheng, 2018. "Analysis of crude oil markets with improved multiscale weighted permutation entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 389-402.

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