湍流图像特性影响因素评价(英文)  

Assessment of the influential factors of turbulence image characteristics

作　　者：梁忠伟[1,2] 刘晓初[1] 游思坤[1] 江帆[1] 谢碧洪[1] 

机构地区：[1]广州大学机械与电气工程学院,广东广州510006 [2]浙江大学流体动力与机电系统国家重点实验室,浙江杭州310027

出　　处：《广州大学学报（自然科学版）》2013年第5期56-62,共7页Journal of Guangzhou University:Natural Science Edition

基　　金：National Natural Science Foundation of China(51205073);China National Spark Program(2013GA780063);The science and technology project of Guangzhou city(2012J4100053,12C42011566);Foundation Project of The State Key Laboratory of Fluid Power Transmission and Control,Zhejiang University(GZKF-201201);Foundation Project of Traction Power State Key Laboratory,Southwest Jiaotong University(TPL1311);Foundation Project of the National Engineering Research Centre of Near-Net-Shape Forming for Metallic Materials,South China University of Technology(2012007)are also appreciated for supporting this work

摘　　要：文章通过建立模糊灰色关联系统来定量评价湍流图像的影响机制.通过在图像采集过程中选取不同影响因素,建立了因素参数阵列,以此为基础获得模糊灰色评价系统的数学模型.通过计算影响参数以及图像特征之间的模糊灰色关联度,则湍流图像特性的影响机制得以确定.评价实验验证了影响机制的准确性,该研究为后续的湍流监控提供了技术参考以及新的研究思路.In this research, fuzzy gray degrees were established to quantitatively evaluate the influential factors in the image characteristics of turbulence motion locus. Through selecting different influential factors during image acquirement and establishing factor-parameters array, the mathematical model of fuzzy gray evaluating system can therefore be structured. After calculating those fuzzy gray relational degrees between those factor-parameters and image characteristics, the external influence on image characteristics can be quantized systematically. By repeated experiments their influence disciplines are determined, this paper also provides technical references and new research ideas for future turbulence monitoring in practice as well.

关 键 词：湍流 图像特性 影响因素 评价 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]