物理学报2011，Vol.60Issue(1)：381-388,8.
气液两相流波动信号的时频谱分析研究
Time-frequency spectral analysis of gas-liquid two-phase flow's fluctuations
摘要
Abstract
In order to study different flow patterns' dynamic characteristics of gas-liquid two-phase flow, three time-frequency analysis methods are introduced to process the dynamic differential pressure signal of gas-liquid two-phase flow, such as the wavelet transform, Hilbert-Huang transform and adaptive optimal-kernel method. The results show that the main part of energy is transferred from frequency band 15-35 Hz to 0-8 Hz when the flow pattern changes from bubbly flow to slug flow and plug flow, and two spectrum peaks are observed at slug flow. The experimental results show that the timefrequency resolution of Hilbert-Huang transform and adaptive optimal-kernel is higher than that of wavelet transform. The extractions of ridge information based on adaptive optimal-kernel overcome the influence of fuzzy plane windowing effect,and enhance the readability of time-frequency plane information. The time-frequency analysis clearly shows the dynamic characteristics of different flow patterns, and describes the variation rules with time. It is helpful to further study the mechanism of gas-liquid two-phase flow.关键词
气液两相流/流型识别/希尔伯特-黄变换/自适应最优核Key words
gas-liquid two-phase flow/ flow pattern identification/ Hilbert-Huang transform/adaptive optimal-kernel引用本文复制引用
孙斌,王二朋,郑永军..气液两相流波动信号的时频谱分析研究[J].物理学报,2011,60(1):381-388,8.基金项目
国家自然科学基金理论物理专项基金(批准号:10947154)和浙江省自然科学基金(批准号:Y1100842)资助的课题. （批准号:10947154）
