China Mechanical Engineering ›› 2011, Vol. 22 ›› Issue (16): 1965-1969.

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

Shi Zhengzhong;Huang Yijian
  

  1. Huaqiao University,Xiamen,Fujian,361021
  • Online:2011-08-25 Published:2011-08-30
  • Supported by:
    National Natural Science Foundation of China(No. 50975098)

支持向量机高阶累积量AR模型的筛分效率研究

  

  1. 华侨大学,厦门,361021
  • 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)

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

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。

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