摘要
分别用灰色 GM( 1 ,1 )模型、动态数据双向差分模型对腐蚀试验数据进行了拟合和预测。结果表明 :灰色 GM( 1 ,1 )模型对腐蚀数据有较好的拟合和预测精度 ,且对数据有较好的适应性 ;动态数据双向差分模型对波动不大的腐蚀数据有较好的拟合和预测精度 ,对波动较大的腐蚀数据其拟合和预测的误差较大。
The processing of corrosion data is critical in the corrosion lifetime evaluation and corrosion prediction, because the data, which seem to have no evident correlation, involve all the corrosion information. It is important to establish a mathematical model with these data better. In this paper, the gray theory GM(1,1) model, the dynamic data bidirectional difference model and the power function model are established with the corrosion data which were obtained from the acetic acid type immersion test respectively. The result shows that the GM(1,1) model has relative good prediction accuracy and flexibility, the dynamic data bidirectional difference model has a good prediction accuracy for the neap floating data and a poor prediction accuracy for the sharp data, while the power function model is not suitable for the corrosion prediction because of its poor flexibility and accuracy.
出处
《航空学报》
EI
CAS
CSCD
北大核心
2000年第2期183-186,共4页
Acta Aeronautica et Astronautica Sinica
