某型发动机滑油颗粒监测试验数据预测分析研究

Research on Forecast and Analysis of Experiments Data of Aero-Engine Lubricating Oil Debris Monitoring

针对某型发动机滑油颗粒监测试验数据预测分析的需要,主要研究了时间序列模型和灰色模型两种预测模型,并有机结合起来,形成新的灰色时序模型;分别进行预测分析,并比较预测精度。预测结果表明:灰色时序模型预测精度高,具有很好的预测能力,有较高的实用意义。

For the needs of experiments data forecast and analysis of aero-engine lubricating oil debris monitoring. We take a primary research on time sequence model and grey model. And combining, form a new grey-time sequence model. Forecast and analysis the data, and compare the predictive accuracy. Forecast results indicate that the grey-time sequence model has high precision and good predictive ability. It has a higher degree of practical significance.