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利用计算机数据采集技术获取了自然对流欠热沸腾系统中声压波动的动态信号，通过对典型动态数据的频域分析，结合实测声压时间序列研究，对激波的产生、倍频关系、谱峰聚合等一系列时、频现象的动力学机理进行解释，描述了自然对流欠热沸腾系统的动态发展过程。基于声压频谱，定义并构造了特征向量，通过动态聚类，对该欠热沸腾两相系统的动态过程进行了工况识别，识别结果与对时间序列的定性分析一致，这对构建核安全自动监控系统乃至沸腾两相流工况识别诊断专家系统具有重要意义。
The dynamic signal of sound pressure fluctuation in natural convection heating system was acquired by computer data acquisition technology. The frequency domain analysis of typical dynamic data and the study of sound pressure time series were used to analyze the generation and multiplication of shock wave, Peak polymerization and a series of time and frequency phenomena of the kinetic mechanism to explain the description of the natural convection under hot boiling system dynamic development process. Based on the sound pressure spectrum, the eigenvectors are defined and constructed, and the dynamic process of the under-boiling boiling two-phase system is identified by dynamic clustering. The identification results are consistent with the qualitative analysis of the time series. Automatic monitoring system and even boiling two-phase flow identification diagnostic expert system is of great significance.