基于数据融合的核动力管道腐蚀速率预测研究

Data Fusion Model Used for Corrosion Rate Prediction for Pipelines for Nuclear Power

在分析了数据融合技术的基础上,建立了基于数据融合的腐蚀速率预测模型,并对核动力管道的腐蚀速率进行预测.结果表明,利用数据融合技术对腐蚀速率进行预测所得到的结果是有效的,且精度比单一预测模型高,同时所得的预测结果对核动力管道的维护具有一定的指导意义.

In order to predict the corrosion rate of pipelines for nuclear power system. A model based on the data fusion theory was built to predict the corrosion rate in the paper. Results indicate that the data fusion prediction model are effective with greater precision, and therefore the data fusion model is meaningful to the maintenance of pipes for nuclear power system.