Modeling and monitoring of multimode transition process based on reconstruction
The modeling and monitoring methods of nonlinear multimode transition process are proposed. The traditional methods such as principle component analysis (PCA) and partial least squares (PLS) are not effective for multimode problem. In order to solve this multimode problem, a new reconstruction-based approach is proposed for modeling and monitoring purpose. The characteristics of the multimode transition process are analyzed in this paper. In different batch cycles transition patterns may follow different trajecto-ries and reveal different characteristics. After the operation patterns change, the two neighboring modes still share some common cor-relations. According to the principle, the reconstruction-based algorithm is proposed. The modeling and monitoring of multimode tran-sition process are proposed based on the reconstruction algorithm. The simulation results show the proposed methods are effective.
Multimode transition process between-mode analysis subspace separation nonlinear batch process reconstruction.
Yingwei Zhang Jiayu An
State Laboratory of Synthesis Automation of Process Industry, Northeastern University, Shenyang, Lia
国内会议
厦门
英文
1-6
2012-08-01（万方平台首次上网日期，不代表论文的发表时间）