Fault Monitoring of Nonlinear Process Based on kernel concurrent projection to latent structures

摘要：

　　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.

关键词： Kernel Concurrent Projection to Latent Structures (KCPLS) Fault Detection Residual Spaces KCPLS Detection

作者: Rongrong Sun Yunpeng Fan Yingwei Zhang

作者单位: Key Laboratory of Integrated Automation of Process Industry,Ministry of Education,Northeastern University,Shenyang,Liaoning110004,P.R China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 5184-5189

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）