基于多源信号融合的球磨机负荷预测方法研究

罗小燕,邵凡,陈慧明,卢小江

振动与冲击 ›› 2019, Vol. 38 ›› Issue (8) : 232-237.

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振动与冲击 ›› 2019, Vol. 38 ›› Issue (8) : 232-237.
论文

基于多源信号融合的球磨机负荷预测方法研究

  • 罗小燕,邵凡,陈慧明,卢小江
作者信息 +

A ball mill load prediction method based on multi-source signal fusion technology

  • LUO Xiaoyan, SHAO Fan, CHEN Huiming, LU Xiaojiang
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文章历史 +

摘要

针对单一因素的球磨机负荷预测时存在的局限性问题,分别提取磨矿过程中振动、磨音、电流的特征信息值,采用网格搜索与交叉验证相结合的支持向量机(SVM)磨机负荷预测方法判断磨机负荷的类型,并得到基本信度分配函数(mass函数)。通过改进后的D-S证据融合规则,提出了磨机负荷的多源异类信号特征层融合方法,通过实例验证与不同算法间对比分析,表明该方法应用于磨机负荷预测时,得到的融合结果置信度更高、收敛速度更快、稳定性更强。

Abstract

For the limitation of the single-factor ball mill load prediction, we extracted the characteristic information values of vibration, grinding and current in the grinding process, and used the support vector machine (SVM) combined with grid search and cross-validation for grinding machine load prediction.By determining the type of mill load, we obtained the basic reliability distribution function (mass function).Through the improved D-S evidence fusion rule, a multi-source heterogeneous signal feature layer fusion method for mill load was proposed.Through the example verification and comparison between different algorithms, we found when the method is applied to the mill load prediction, higher confidence, faster convergence, and greater stability fusion results are obtained.

关键词

负荷预测 / D-S证据 / 多源异类信号 / 信号融合

Key words

Mill load / D-S evidence / Multi-source signal / Signal fusion

引用本文

导出引用
罗小燕,邵凡,陈慧明,卢小江. 基于多源信号融合的球磨机负荷预测方法研究[J]. 振动与冲击, 2019, 38(8): 232-237
LUO Xiaoyan, SHAO Fan, CHEN Huiming, LU Xiaojiang. A ball mill load prediction method based on multi-source signal fusion technology[J]. Journal of Vibration and Shock, 2019, 38(8): 232-237

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