支持向量机高阶累积量AR模型的筛分效率研究

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。%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.