A novel modeling method, two-dimensional dynamic principal component analysis (2ddpca), was developed for monitoring batch process transition in author's previous work.
针对间歇过程过渡状态下具有的复杂过程特性，提出一种基于二维动态主成分分析(2ddpca)的故障诊断方法。
A novel modeling method, two-dimensional dynamic principal component analysis (2ddpca), was developed for monitoring batch process transition in author's previous work.
针对间歇过程过渡状态下具有的复杂过程特性，提出一种基于二维动态主成分分析(2ddpca)的故障诊断方法。
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