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机构地区:[1]东北电力大学能源与动力工程学院,吉林省吉林市132012
出 处:《化工学报》2016年第9期3625-3632,共8页CIESC Journal
摘 要:棒束通道气液两相流的压差信号是非线性的,多尺度熵法在分析非线性信号方面效果较好。运用多尺度熵对压差信号进行分析,在7×7棒束通道的气液两相流实验台上采集压差信号,针对104种流动条件4种流型的压差时间序列分析其多尺度熵特征。研究发现:小尺度(前8个)下的多尺度熵率可以准确区分棒束通道4种流型;大尺度下的样本熵变化趋势可以揭示4种流型的动力学特性。Due to non-linearity of pressure difference signals of gas-liquid two-phase flow in rod bundled channel and capability of multi-scale entropy analysis in charactering complex signals, multi-scale entropy analysis was used to study time series of pressure difference signals of gas-liquid two-phase flow in the 7×7 rod bundled channel under 104 different flow conditions. Results showed that the change rate of multi-scale entropy in small scales(no more than 8) could accurately distinguish four flow regimes in the rod bundled channel whereas the trending of large scale sample entropy could disclose dynamic characteristics of each flow regime. Therefore, compared to chaotic time series analysis of R/S method, the multi-scale entropy analysis method could reveal the dynamic characteristics and also accurately distinguish four flow regimes of gas-liquid two-phase flow in the rod bundled channel.
关 键 词:气液两相流 多尺度 样本熵 流型识别 棒束通道 算法
分 类 号:TL334[核科学技术—核技术及应用]
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