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基于小波能量特征的气液两相流流型识别方法

Identification method of gas-liquid two-phase flow pattern based on wavelet energy feature

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【作者】 王强周云龙祝国强周迎红

【Author】 WANG Qiang,ZHOU Yun-long,ZHU Guo-qiang,ZHOU Ying-hong (Northeast Electric Power University,Jilin 132012,Jilin China)

【机构】 东北电力大学吉林省东北电力大学吉林省 吉林吉林132012吉林吉林132012

【摘要】 应用小波分析对流型的动态压差波动信号进行分析、提取特征,然后将小波能量作为改进BP神经网络的输入,提出一种新的流型识别方法,并用实验数据验证了该方法的正确性和有效性。

【Abstract】 The traditional identification methods of flow regimes were only looked as a kind of defined methods of flow regimes.In this article,a new flow pattern identification method of two-phase flow was proposed.Firstly the method analyzes the dynamic pressure-difference fluctuation signals of a flow regime by utilizing wavelet analysis and extracts the characteristics,then wavelet energy is input into betterment B Pneural network and flow regime intelligent identification can be performed.The method was demonstrated by experimental data.

  • 【文献出处】 水利电力机械 ,Water Conservancy & Electric Power Machinery , 编辑部邮箱 ,2006年10期
  • 【分类号】O359
  • 【被引频次】11
  • 【下载频次】200
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