The basic idea is to map the input space into a subspace via nonlinear mapping and then to compute the principal components in that subspace. SKPCA is used to monitor the Tennessee Eastman process.

• 对此提出一种基于特征样本的KPCA(SKPCA)；其基本思想是；首先利用非线性映射函数将输入空间映射到特征子空间；然后在特征子空间中计算主元.