The invention relates to a multi-phase batch process phase dividing method based on a multiway principal component analysis method, which comprises the following steps: model data acquisition, three dimensional
Several extensions of the conventional PCA/PLS to batch processes have also been reported, among which most batch process monitoring methods are based on multiway principle component analysis (MPCA) and partial least squares (MPLS) [8], [9], [10], [11], [12], [13]. However, conventional...
Multiway principal component analysis (MPCA), multiway partial least squares (MPLS) and multiway independent component analysis (MICA) are classical multivariate statistical methods for monitoring batch processes. In recent years, many extensions [[4], [5], [6], [7], [8]] of MPCA, MPLS ...
Multiway principal component analysis (MPCA) has been widely used to monitor batch processes. However, due to the nature and complicated changes of batch processes, the data in fact contains inherent non-Gaussian information. Besides, when used for on-line monitoring, MPCA needs future value estim...
Section > Chapter Lee, D.Sung.; Vanrolleghem, P.A. Environmental Monitoring and Assessment 92(1-3): 119-135 2004 ISSN/ISBN:0167-6369 15038539 10.1023/b:emas.0000014498.72455.18 004029188 Full-Text Article emailed within 0-6 h Payments are secure & encrypted ...
2. The method of claim 1, wherein the multivariate statistical analysis comprises principal component analysis (PCA) of data indicative of the operation of the process. 3. The method of claim 2, wherein the principal component analysis (PCA) comprises multiway PCA based on process data indicati...
The “radius of action” was first introduced in the engineering field to discuss the quantity of blasting and the accurate blasting scope in the multiboundary blasting system. The term “radius of water quality action” was introduced to understand the effective range of land use in watersheds....
Notably, dynamic-controlled principal component analysis (DCPCA) has been developed to explicitly model the dynamic causality between control inputs and the pattern. However, studies on the mathematical properties of DCPCA are still absent, which hinders understanding and limits its applications. To ...
These features are treated as the input variables of the proposed PCA-RWN model for multi-mode process monitoring. In the proposed model, the PCA is used to extract the principal component features of input vectors. By establishing the RWN model for an appropriate principal component subspace, ...