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OALib Journal期刊
ISSN: 2333-9721
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Data Fusion Model Used for Corrosion Rate Prediction for Pipelines for Nuclear Power
基于数据融合的核动力管道腐蚀速率预测研究

Keywords: data fusion,pipeline of nuclear power,corrosion rate,prediction
数据融合
,核动力管道,腐蚀速率,预测

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Abstract:

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.

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