Modeling and monitoring of nonlinear multi-mode processes based on similarity measure-KPCA

• Published in: Journal of Central South University Vol. 24; no. 3; pp. 665 - 674
• Main Authors: Wang, Xiao-gang, Huang, Li-wei, Zhang, Ying-wei
• Format: Journal Article
• Language: English
• Published: Changsha Central South University 01.03.2017; Springer Nature B.V
• Subjects: Algorithms; Engineering; Fault detection; Metallic Materials; Modelling; Monitoring; Principal components analysis; Similarity; Subspaces; similarity measure; kernel principal component analysis (KPCA); process monitoring; subspace separation

A new modeling and monitoring approach for multi-mode processes is proposed. The method of similarity measure(SM) and kernel principal component analysis (KPCA) are integrated to construct SM-KPCA monitoring scheme, where SM method serves as the separation of common subspace and specific subspace. C...