摘要
采用混沌时间序列模型,用MATLAB语言编程,分析材料的工业大气腐蚀失重试验数据的时间序列变化规律,进而预测出未来时段的腐蚀量.一致性检验结果表明,预测模型的计算值与实际测定值非常接近.而且可进一步预测试样的腐蚀趋势.实际预测结果表明,材料腐蚀量的混沌预测法相对准确而有效.对比灰色理论模型,本模型可得到较好的预测效果.
The variation pattern of time series of the data of material weight losing test for industrial atmospheric corrosion was analyzed by using the model of chaos time series and MATLAB language, so that the corrosion amount in the further was forecasted. The result of consistence examination showed that the result of calculation with this model was very close to the measured data, and that the tendency of corrosion of the sample could further be forecasted with this model. It was shown by actual forecast that the chaotic forecast method of material corrosion amount was relatively accurate and effective. Compared with the grey model, this method could make a better prediction.
出处
《兰州理工大学学报》
CAS
北大核心
2009年第5期5-8,共4页
Journal of Lanzhou University of Technology
基金
甘肃省高校研究生导师基金(0511204)
