Abstract
The relative entropy between the probability distributions of backward and forward series can be used to determine time asymmetry (or irreversibility). In the paper, we combine symbolic time series analysis method with relative entropy theory and propose the symbolic relative entropy method to quantify the time irreversibility of the time series of gas-liquid two-phase flow. By symbolic processing and relative entropy value calculation to the time series of three typical flow patterns, we find that the time irreversibility of three flow pattern signals are significantly different. The results suggest that the irreversibility analysis based on conductance fluctuating signals is an useful tool to characterize the dynamic characteristics of gas-liquid two-phase flow patterns and understand flow pattern transition mechanism.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
