为此提出了一种多向核主元分析(MKPCA)算法用于间歇过程的建模与在线监测。
A method based on multiway kernel principal component analysis (MKPCA) was proposed to capture the nonlinear characteristics of normal batch processes.
将多方向主元分析（MPCA）理论应用到一个实际的PVC间歇反应过程的性能监测与故障诊断中。
This paper presents monitoring and fault diagnosis of a PVC batch process using multi way principal component analysis (MPCA).
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