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131.
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A blank panel design algorithm based on feature mapping methods for integral wing skin panels with supercritical airfoil surface is presented.The model of a wing panel is decomposed into features,and features of the panel are decomposed into information of location,direction,dimension and Boolean types.Features are mapped into the plane through optimal surface development algorithm.The plane panel is modeled by rebuilding the mapped features.Blanks of shot-peen forming panels are designed to identify the effectiveness of the methods. 相似文献
133.
《中国航空学报》2020,33(7):1877-1888
The air-cycle refrigeration system is widely used in commercial and military aircraft, and its efficiency greatly affects aircraft performance. Nowadays, this system requires a more efficient design and optimization method. In this paper, a short-cut optimization method with high efficiency and effectiveness is introduced for both conventional and electric air-cycle refrigeration systems. Based on the system characteristics, a four-layer parameter matching algorithm is designed which avoids computational difficulty caused by simultaneous equations. Fuel penalty is chosen as the objective function of optimization; design variables are reduced based on sensitivity analysis to improve optimization efficiency. The results show that the 3-variable optimization of the conventional air-cycle refrigeration system can obtain almost the same results as the traditional 6-variable optimization in that these two optimizations can both significantly reduce the fuel penalty. However, the computer running time of the 3-variable optimization is much shorter than that of the 6-variable optimization. The optimal fuel penalty of the electric air-cycle refrigeration system is lower than that of the conventional one. This study can provide reference for optimizing the air-cycle refrigeration system of aircraft. 相似文献
134.
《中国航空学报》2020,33(5):1549-1561
Planetary gear train is a prominent component of helicopter transmission system and its health is of great significance for the flight safety of the helicopter. During health condition monitoring, the selection of a fault sensitive feature subset is meaningful for fault diagnosis of helicopter planetary gear train. According to actual situation, this paper proposed a multi-criteria fusion feature selection algorithm (MCFFSA) to identify an optimal feature subset from the high-dimensional original feature space. In MCFFSA, a fault feature set of multiple domains, including time domain, frequency domain and wavelet domain, is first extracted from the raw vibration dataset. Four targeted criteria are then fused by multi-objective evolutionary algorithm based on decomposition (MOEA/D) to find Proto-efficient subsets, wherein two criteria for measuring diagnostic performance are assessed by sparse Bayesian extreme learning machine (SBELM). Further, F-measure is adopted to identify the optimal feature subset, which was employed for subsequent fault diagnosis. The effectiveness of MCFFSA is validated through six fault recognition datasets from a real helicopter transmission platform. The experimental results illustrate the superiority of combination of MOEA/D and SBELM in MCFFSA, and comparative analysis demonstrates that the optimal feature subset provided by MCFFSA can achieve a better diagnosis performance than other algorithms. 相似文献
135.
计算机视觉中用单幅照片来识别三维物体的六个自由度是非常困难的,但是,在知道一些先验知识的情况下,可以对物体的六个自由度进行识别。本文提出一种基于先验知识的三维位举参数识别的方法,使用物体上不共线的三个特征点及目标点来确定物体的位置和姿态,给出了六个参数的解析表达式,在实时处理中可以得到好的效果。 相似文献
136.
基于自适应Siamese网络的无人机目标跟踪算法 总被引:1,自引:1,他引:1
无人机已被广泛应用到军事和民用领域,目标跟踪是无人机应用的关键技术之一。针对无人机跟踪过程中目标易发生形变、遮挡等问题,提出一种基于自适应Siamese网络的无人机目标跟踪算法。首先,利用2个卷积网络构建一个5层Siamese网络,通过对模板特征与当前帧图像特征进行卷积得到目标位置;其次,利用高斯混合模型对以往的预测结果进行建模并建立目标模板库;然后,从模板库中挑选出最可靠的目标模板并以此更新Siamese网络的匹配模板,使Siamese网络能够自适应目标的外观变化;最后,引入回归模型进一步精确目标位置,降低背景对网络性能的影响。仿真实验结果表明:该算法有效降低了形变、遮挡等情况对跟踪性能的影响,具有较高的准确率。 相似文献
137.
138.
ANANALYSISOFPROPELLERLIFTING-LINETHEORYBYMATCHEDASYMPTOTICEXPANSIONSChenZemin;PanJieyuan;WuLiyi(InstituteofFluidMechanics,Bei... 相似文献
139.
多个视角下三维物体的识别一直是计算机视觉和模式识别领域的重要研究方向。对平面区域或适当的变换区域中以不同视角观察时图像中的点集所具备的性质进行了研究.并得出了在仿射变换下点模式匹配所具备的重要性质,即基于不同视角下平面图形的傅立叶描绘矩阵,得到形状匹配的数学约束,并将其应用于多个视角下物体的形状识别。理论分析及仿真实验表明,该方法在形状识别中是简便、快速、有效的。 相似文献
140.