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Modeling on the drum loading performance of the helix shearer based on Partial Least Square Regression

机译:基于偏最小二乘回归的螺旋采煤机滚筒装载性能建模

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In order to get the accurate and quantificational loading performance model of the Shearer drum, the relevant abbreviated experiment is designed to simulate the drum loading coal process in the different working conditions according to the analogy theory. Select drum's rotated speed, haulage speed and the angle of drum's hub to be variables of the regression model. Experiment data are gotten by the orthogonal method. The regression model is identified by PLSR (Partial Least Square Regression) method to get model's coefficients. The results of the simulation and experiment prove that this kind of method not only can build the model of loading performance correctly and effectively but also have the advantages of fewer experiments, less amount of calculation, stronger ability of the model forecast. The coefficients of the regression model have more actual meaning.
机译:为了获得精确,定量的采煤机滚筒装煤性能模型,根据类比理论,设计了相关的简化实验,模拟了不同工况下的滚筒装煤过程。选择滚筒的转速,牵引速度和滚筒轮毂的角度作为回归模型的变量。通过正交方法得到实验数据。通过PLSR(偏最小二乘回归)方法确定回归模型,得到模型的系数。仿真和实验结果表明,这种方法不仅可以正确有效地建立载荷性能模型,而且具有试验少,计算量少,模型预测能力强的优点。回归模型的系数具有更多实际意义。

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