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作 者:李晓高 李浩冬 蔡骁 王兴国 沈国浪 范跃农 LI Xiaogao;LI Haodong;CAI Xiao;WANG Xingguo;SHEN Guolang;FAN Yuenong(School of Mechanical and Electronic Engineering,Jingdezhen Ceramic University,Jingdezhen 333403,China;CNPC Engineering Technology R&D Company Limited,Beijing 102206,China)
机构地区:[1]景德镇陶瓷大学机械电子工程学院,江西景德镇333403 [2]中国石油集团工程技术研究院有限公司,北京102206
出 处:《现代信息科技》2024年第19期11-16,共6页Modern Information Technology
基 金:国家自然科学基金资助项目(52265020);大学生创新创业计划项目(X202310408083)。
摘 要:为识别管道中气液两相流的流型,文章提出一种基于小波分析的流型识别方法。构建由水箱、水泵、气泵、测量管路、循环管路和超声检测系统组成的气液两相流流型检测实验装置,以获取气液两相流流型超声检测信号。基于小波分析法对该信号进行处理,并绘制泡状流、段塞流、混状流等各种流型的振幅-频率图像。通过与短时傅里叶变换处理的结果进行对比,证明小波分析法在细节处理上比STFT分析法更加准确。To identify the flow pattern of gas-liquid two-phase flow in pipelines,a flow pattern identification method based on wavelet analysis is proposed in this paper.A gas-liquid two-phase flow pattern detection experimental device consisting of a water tank,water pump,air pump,measurement pipeline,circulation pipeline,and ultrasonic detection system is constructed to obtain ultrasonic detection signals for gas-liquid two-phase flow patterns.Based on wavelet analysis method,the signal is processed and amplitude-frequency images of various flow patterns such as bubbly flow,slug flow,and mixed flow are drawn.By comparing the treatment results of wavelet analysis with Short Time Fourier Transform(STFT),it is proven that wavelet analysis method is more accurate in detail processing than STFT analysis method.
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