| 基于信息融合技术的球磨机三因素负荷检测研究 |
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| 引用本文： | 孙景敏,李世厚.基于信息融合技术的球磨机三因素负荷检测研究[J].云南冶金(经济分析版),2008,37(1):16-19. |
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| 作者姓名： | 孙景敏 李世厚 |
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| 作者单位： | 昆明理工大学,云南昆明650093 |
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| 摘 要： | 采用多传感器信息融合技术实现对介质充填率、料球比以及磨矿浓度三因素的检测，并通过神经网络建立球磨机外部响应与内部负荷参数之间的关系模型，对球磨机负荷进行预测，为球磨机优化控制奠定基础。
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| 关 键 词： | 球磨机负荷检测 多传感器 信息融合 神经网络 |
| 文章编号： | 1006-0308（2008）01-0016-04 |
| 收稿时间： | 2007-05-09 |
Research for Three Factors on Load Examination of the Ball Mill Based on Information Fusion Techniques |
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| Authors: | SUN Jing-min LI Shi-hou |
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| Abstract: | This paper constructs a multi-sensor fusion-based measuring system, and then RBF neural network is utilized to fuse the multi-sensor information effectively. Through examination of the multiple external response and the relations between the exterior response and internal load of the ball mill, the confirmation of the many internal load-parameters of the ball mill can be achieved accurately, accordingly establishing the foundation of the optimized real-time control for the mine-grinding process. |
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| Keywords: | ball mill load testing multi-sensor information fusion neural net |
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