润滑油质量组合预测

Research on the Lubrication Oil Quality Combination Forecasting

以某自行火炮润滑油氧化程度光谱分析数据为基础，利用线性回归理论、灰色理论及组合预测理论建立了润滑油的氧化程度预测模型，并且分析各模型在预测上的差异，验证了润滑油质量组合预测模型能够充分利用单一预测模型的有效信息，提高预测精度。

Based on lubrication oil oxidation levels data from some self-propelled gun, a predictive model using linear regression theory, gray theory and combination forecasting theory was established for oxidation levels oil. And the difference of each forecasting model was analyzed. It proved that the combination forecasting model could make the best of effective information of each single forecasting model, and could improve the precision of forecasting.