Fault monitoring of nonlinear process based on kernel concurrent projection to latent structures

In this paper, a fault monitoring method based on kernel concurrent projection to latent structures (KCPLS) is proposed. It is the purpose of the article to effectively detect the faults which are happening in all of the spaces. Considering the problems of the conventional PLS model, the residual spaces of X and Y is further decomposed to establish a more accurate relation between input and output. The non-Gaussian is considered as most of the industrial process is nonlinear. KCPLS detection is applied to vehicle battery industrial processes. The results of simulation show the effectiveness of the proposed method.