摘要
采用人工智能中的模糊逻辑方法进行气固两相流动PTV测量中的颗粒识别,因更多地模拟人脑的思维过程使得识别效率得到大幅度的提高,同时,在识别过程中可以获取大量有关颗粒本身的信息,如形状和尺寸等,由此可将气固两相流动中的不同尺寸的颗粒区分开,从而可实现对气固两相流动的测量。
The fuzzy logic method has been used to recognize the particle images.Both efficiency and accuracy has been obviously enhanced. More information of the particle, such as particle shape and size, has been obtained in the process, which can be used to distinguish the large and small particles in the measurement of gasparticle twophase flow where the velocity of small particles represents that of the gas flow.
出处
《流体力学实验与测量》
CSCD
北大核心
2002年第2期78-83,共6页
Experiments and Measurements in Fluid Mechanics
基金
国家重点基础研究专项经费资助(No.G19990222)
