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基于特征聚集度的FCM-RSVM算法及其在人工焊点缺陷识别中的应用 被引量:1
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作者 钱佳 罗晶波 +1 位作者 李梦霄 万永菁 《华东理工大学学报(自然科学版)》 CAS CSCD 北大核心 2015年第4期538-542,共5页
针对人工焊点缺陷识别方法进行研究,提出了一种基于特征聚集度的模糊C均值聚类(FCM)与松弛约束支持向量机(RSVM)联用的分类识别算法。在提取人工焊点特征向量的基础上,算法首先对样本特征数据进行模糊C均值聚类,依据样本隶属度函数计算... 针对人工焊点缺陷识别方法进行研究,提出了一种基于特征聚集度的模糊C均值聚类(FCM)与松弛约束支持向量机(RSVM)联用的分类识别算法。在提取人工焊点特征向量的基础上,算法首先对样本特征数据进行模糊C均值聚类,依据样本隶属度函数计算不同特征的特征聚集度,并由特征聚集度指标改进RSVM算法中的松弛量参数,建立最终的分类器模型。实验结果表明:本文提出的算法建立了泛化能力更强的分类模型,能有效抑制噪声及模糊边界点对分类模型的影响,在人工焊点缺陷识别的应用中获得了满意的识别结果。 展开更多
关键词 焊点缺陷识别 特征聚集度 模糊C均值聚类 松弛约束支持向量机
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Measurement of droplet size distribution in core region of high-speed spray by micro-probe L2F
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作者 Daisaku Sakaguchi Oluwo le Amida +1 位作者 Hironobu Ueki Masahiro Ishida 《Journal of Thermal Science》 SCIE EI CAS CSCD 2008年第1期90-96,共7页
In order to investigate the distribution of droplet sizes in the core region of diesel fuel spray, instantaneous measurement of droplet sizes was conducted by an advanced laser 2-focus velocimeter (L2F). The micro-s... In order to investigate the distribution of droplet sizes in the core region of diesel fuel spray, instantaneous measurement of droplet sizes was conducted by an advanced laser 2-focus velocimeter (L2F). The micro-scale probe of the L2F is made up of two foci and the distance between them is 36 lain. The tested nozzle had a 0.2 mm diameter single-hole. The measurements of injection pressure, needle lift, and crank angle were synchronized with the measurement by the L2F at the position 10 mm downstream from the nozzle exit. It is clearly shown that the droplet near the spray axis is larger than that in the off-axis region under the needle full lift condition and that the spatial distribution of droplet sizes varies temporally. It is found that the probability density distribution of droplet sizes in the spray core region can be fitted m the Nukiyama-Tanasawa distribution in most injection periods. 展开更多
关键词 droplet disintegration optical characterization laser 2-focus velocimeter
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