Abstract
In order to handle the multiple operating mode problem and the widely existing non-Gaussian information of nonlinear processes,a new online local model based process monitoring method is proposed.First,least square support vector regression (LSSVR) local model is used to predict process outputs.Residuals are made between real outputs and predicted outputs.Then a two step ICA-PCA information extraction is carried out in order to extract both Gaussian and non-Gaussian information from the residuals.Finally,three statistic quantities are built to monitor the process.An online monitoring algorithm for nonlinear multiple mode processes with non-Gaussian information is also developed.Simulation of TE process shows the feasibility and efficiency of the new method.Besides,the new method also shows fault detection ability.
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