Forecasting of Hydrogen Content in Hydrogen Decrepitation Process Based on Data Drive
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摘要: 针对目前钕铁硼氢粉碎工艺过程中氢含量无法在线检测、动力学模型难以建立等问题,提出利用数据驱动方法实现钕铁硼氢粉碎过程中氢含量的预报,详细介绍了基于LS-SVM的氢粉碎工艺氢含量预报模型的建模过程。预测结果表明,基于LS-SVM的氢含量预报模型对氢粉碎工艺中氢含量的预测误差较小,可满足生产工艺的要求。Abstract: In order to solve problems that hydrogen content cannot be detected on-line and kinetic model is difficult to be established in NdFeB hydrogen decrepitation process at present, the paper proposed a scheme which uses data driven method to implement forecasting of hydrogen content, and introduced modeling process of forecasting model of hydrogen content based on LS-SVM in details. The forecasting result showed that the model can forecast hydrogen content with small errors which would meet requirement of NdFeB hydrogen decrepitation process.
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