The hybrid modeling approach, which combines kinetic and regression module parts to an overall processmodel, is an attractive process modeling approach. However, the selection of various kinetic and regression modelsaffects ...

Principal component analysis (PCA) has been widely used in monitoring industrial processes, but it is still necessary to make improvements in having a timely and effective access to variation information. It is known that ...

Conventional kernel principal component analysis (KPCA) does not always perform well for nonlinearprocess monitoring because the beneficial information for fault detection may be submerged under the retained kernelprincipal ...

Quality prediction is a challenging task due to the nonlinearity and complexity of batch processes. In real batch processes, the presence of different sampling frequencies complicates data processing and information digging, ...