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Subcooled boiling regime recognition based on fractal characteristic quantities of sound pres- sure

机译:基于声压的分形特征量的过冷沸腾状态识别

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摘要

Based on acquisition of sound pressure in subcooled boiling two-phase system and through dynamic data processing methods, the dynamical behavior of the system is discussed. With the introduction of fractal concept, an analysis to the fractal feature of sound pressure signal is carried out. Moreover, the pseudo phase diagrams of typical time series of sound pressure are given. Finally, through dynamic clustering and on the ba- sis of calculating correlation dimension and Hurst exponent of sound time series on different subcooling condi- tions, the recognition of developing regime of the two-phase system is delivered, which provides a new practi- cal approach of recognition and diagnosis of vapor-liquid boiling system.
机译:基于过冷沸腾两相系统的声压采集并通过动态数据处理方法,讨论了系统的动力学行为。随着分形概念的引入,对声压信号的分形特征进行了分析。此外,给出了典型声压时间序列的伪相位图。最后,通过动态聚类,并基于计算不同过冷条件下的相关维数和声时间序列的赫斯特指数的基础上,对两相系统的发展状况进行了认识,这提供了一种新的实践汽液沸腾系统的识别与诊断方法

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