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Gas–liquid two-phase flow structure in the multi-scale weighted complexity entropy causality plane

Author

Listed:
  • Tang, Yi
  • Zhao, An
  • Ren, Ying-yu
  • Dou, Fu-Xiang
  • Jin, Ning-De

Abstract

The multi-scale weighted complexity entropy causality plane (MS-WCECP) is proposed for characterizing the physical structure of complex system. Firstly we use the method to investigate typical nonlinear time series. Compared with the multi-scale complexity entropy causality plane (MS-CECP), the MS-WCECP can not only uncover the dynamic information loss of complex system with the increase of scale, but also can characterize the complexity of nonlinear dynamic system. In particular, the algorithm of MS-WCECP performs strong anti-noise ability. Then we calculate the MS-WCECP for the conductance fluctuating signals measured from vertical upward gas–liquid two-phase flow experiments in a small diameter pipe, the results demonstrate that the MS-WCECP is a useful approach for exploring the stability and complexity in gas–liquid two-phase flows.

Suggested Citation

  • Tang, Yi & Zhao, An & Ren, Ying-yu & Dou, Fu-Xiang & Jin, Ning-De, 2016. "Gas–liquid two-phase flow structure in the multi-scale weighted complexity entropy causality plane," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 324-335.
    • Handle: RePEc:eee:phsmap:v:449:y:2016:i:c:p:324-335
    DOI: 10.1016/j.physa.2015.12.083
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    Cited by:

    1. Dai, Yimei & He, Jiayi & Wu, Yue & Chen, Shijian & Shang, Pengjian, 2019. "Generalized entropy plane based on permutation entropy and distribution entropy analysis for complex time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 217-231.
    2. Stosic, Darko & Stosic, Dusan & Ludermir, Teresa B. & Stosic, Tatijana, 2019. "Exploring disorder and complexity in the cryptocurrency space," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 548-556.
    3. Zhang, Lifeng & Zhang, Sijia, 2023. "Analysis and identification of gas-liquid two-phase flow pattern based on multi-scale power spectral entropy and pseudo-image encoding," Energy, Elsevier, vol. 282(C).

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