The integration of process mechanism and data-driven model is an important and difficult problem in the field of process control all along.
过程机理和数据驱动模型的结合一直是过程控制中的重点和难点问题。
Principal component analysis (PCA) has found wide application in chemical process monitoring and product quality control as a data-driven modeling method.
主元分析(PCA)作为数据驱动的一种统计建模方法，在化工产品质量控制与故障诊断方面得到广泛研究和应用。
Principal component analysis (PCA) has found wide application in chemical process monitoring and product quality control as a data-driven modeling method.
主元分析(PCA)作为数据驱动的一种统计建模方法，在化工产品质量控制与故障诊断方面得到广泛研究和应用。
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