%0 Journal Article
%T 航空发动机中气液两相流的可视化检测<br>Visible measurement of gas-liquid two-phase flow in aircraft engine
%A 赵愉
%A 岳士弘
%A 张洋洋
%A 王化祥
%J 北京航空航天大学学报
%D 2017
%R 10.13700/j.bh.1001-5965.2017.0060
%X 摘要 针对电阻抗断层成像（EIT）技术中FCM聚类算法的灵敏度系数信息缺失以及测量电压的利用率低两方面问题，提出一种新的成像算法。在该算法中引入灵敏度系数矩阵信息修正各个剖分单元的电压。同时提出了将测量电压数据按照其权系数进行处理的方法，该方法可应用于所有EIT经典反演算法之中。理论和数值仿真结果均表明，与已有的FCM聚类算法相比，优化后算法对两相流型的定位准确度更高，得到的重建图像的空间分辨率与之前相比相对误差降低了5%~15%，相关系数提高了5%~20%。<br>Abstract：This paper focuses on the lack of the sensitivity coefficient information and the low utilization of the measurement voltage in FCM clustering algorithm in electrical impedance tomography (EIT) technology, and proposes a new imaging algorithm. In the new algorithm, sensitivity matrix information is introduced to correct the voltage of each subdivision unit. And at the same time, we propose to handle the measurement voltage according to its weight coefficient in the total voltage value, and this method can be applied to all EIT classical inversion algorithms. Both the theoretical analysis and numerical simulation results demonstrate that the new algorithm is more accurate in locating two-phase flow patterns than the existing FCM clustering algorithm, the spatial resolution deviation of reconstructed image has been reduced by 5% to 15%, and the correlation coefficient has been increased by 5% to 20%.
%K 电阻抗断层成像(EIT)
%K FCM聚类算法
%K 测量电压
%K 灵敏度系数矩阵
%K 两相流型&lt
%K br&gt
%K electrical impedance tomography (EIT)
%K FCM clustering algorithm
%K measurement voltage
%K sensitivity matrix
%K two-phase flow patterns
%U http://bhxb.buaa.edu.cn/CN/abstract/abstract14347.shtml