支持向量机高阶累积量AR模型的筛分效率研究

中国机械工程 ›› 2011, Vol. 22 ›› Issue (16): 1965-1969.

支持向量机高阶累积量AR模型的筛分效率研究

华侨大学,厦门,361021

出版日期:2011-08-25 发布日期:2011-08-30
基金资助:
国家自然科学基金资助项目(50975098)
National Natural Science Foundation of China（No. 50975098）

Research on Screening Efficiency Based on AR Model of High-order Cumulant LS-SVM

Shi Zhengzhong;Huang Yijian

Huaqiao University,Xiamen,Fujian,361021

Online:2011-08-25 Published:2011-08-30
Supported by:
National Natural Science Foundation of China（No. 50975098）

摘要/Abstract

摘要：

利用采集的概率筛筛分作业时主筛体的振动信号，建立高阶累积量AR模型。将AR模型系数作为LS-SVM模型的输入变量，建立LS-SVM筛分效率预测模型。将AR模型与LS-SVM结合实现对概率筛筛分性能的实时监测。

关键词:

概率筛, 筛分效率, 高阶累积量, AR模型, 最小二乘支持向量机

Abstract:

An AR model with high-order cumulant was built by the vibration signals which were collected during the screening of the self-synchronization probability sieve. A screen efficiency predicting model was established by using the coefficients of

the AR model as the input variables of a LS-SVM model.The real-time monitoring

was made during the screening of sieve by the way combining AR model with LS-SVM.

Key words: probability sieve, screen efficiency, high-order cumulant, autoregressive(AR) model, LS-SVM

中图分类号:

TP181

施政中, 黄宜坚.

支持向量机高阶累积量AR模型的筛分效率研究

[J]. 中国机械工程, 2011, 22(16): 1965-1969.

SHI Zheng-Zhong, HUANG Yi-Jian.

Research on Screening Efficiency Based on AR Model of High-order Cumulant LS-SVM

[J]. China Mechanical Engineering, 2011, 22(16): 1965-1969.

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