A Data-Driven Learning Approach for Nonlinear Process Monitoring Based on Available Sensing Measurements.

A data-driven learning approach is proposed to monitor nonlinear processes based only on the available sensing measurements in this paper. To achieve this aim, locally weighted projection regression (LWPR) is used to establish the model of the underlying nonlinear process with local linear models, in which the modified principal component analysis (MPCA) could be further applied for process monito...