| 基于多源数据融合的注射坯密度分布控制算法 |
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| 引用本文： | 常战芳,班晓娟,刘旭,周瑜,何新波. 基于多源数据融合的注射坯密度分布控制算法[J]. 计算机工程与科学, 2010, 32(9): 142-144. DOI: 10.3969/j.issn.1007130X.2010. |
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| 作者姓名： | 常战芳 班晓娟 刘旭 周瑜 何新波 |
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| 作者单位： | 1. 北京科技大学信息工程学院,北京,100083
2. 北京科技大学材料科学与工程学院,北京,100083 |
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| 基金项目： | 国家自然基金重点资助项目 |
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| 摘 要： | 自动化和智能化是未来粉末注射成形技术的重要发展方向,本文通过对注射模具温度基于滑动窗口技术的数据挖掘处理以及对注射坯CT切片密度分布的分析修正、阈值预处理后,采用基于神经网络数据融合的方式对多源数据进行融合,实现对注射坯密度分布的有效控制。
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| 关 键 词： | 传感器网络 注射成形 滑动窗口 数据融合 神经网络 |
| 收稿时间： | 2010-03-18 |
| 修稿时间： | 2010-06-20 |
Density Distribution Control Algorithms of the Injection Semi-Finish Products Based on Multi-source Data Fusion |
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| CHANG Zhang-fang,BAN Xiao-juan,LIU Xu,ZHOU Yu,HE Xin-bo. Density Distribution Control Algorithms of the Injection Semi-Finish Products Based on Multi-source Data Fusion[J]. Computer Engineering & Science, 2010, 32(9): 142-144. DOI: 10.3969/j.issn.1007130X.2010. |
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| Authors: | CHANG Zhang-fang BAN Xiao-juan LIU Xu ZHOU Yu HE Xin-bo |
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| Affiliation: | (1.School of Information Engineering,University of Science and Technology Beijing,Beijing 100083;2.School of Materials Science and Engineering,University of Science and Technology Beijing, Beijing 100083,China) |
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| Abstract: | The combination of automation and intellectualization will be an important development direction of the future powder injection forming technique.Data mining technology is studied based on the sliding window of the injection mold temperature.The amendment and pretreatment of density distribution is done for the slice based on the CT slice of the injection semi finish products. Multi source data is fused using a data fusion approach based on neural networks.The effective control of the injection semifinished product density distribution is realized. |
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| Keywords: | sensor network injection forming sliding window data fusion neural network |
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