By mapping nonlinear data into high-dimensional space by kernel function, the method elimites process nonlinear features, then PPCA can be used to monitor the linear mapped value of process variables.
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美
- 該方法利用核函數將非線(xiàn)性數據映射到高維空間，去除了過(guò)程的非線(xiàn)性，然后利用PPCA對滿(mǎn)足線(xiàn)性關(guān)系的過(guò)程變量映射值進(jìn)行監控。
