文献类型：期刊文献

英文题名：A novel alternating least-squares method based on fixed region scanning evolving factor analysis (FRSEFA) and its application in process monitoring

作者：Tong, Peijin;Wu, Ting;Wang, Xuan;Zhang, Han;Kang, Yan;Du, Yiping[1]

机构：[1]E China Univ Sci & Technol, Shanghai Key Lab Funct Mat Chem, Shanghai 200237, Peoples R China; E China Univ Sci & Technol, Res Ctr Anal & Test, Shanghai 200237, Peoples R China

年份：2014

卷号：6

期号：19

起止页码：7883

外文期刊名：ANALYTICAL METHODS

收录：;EI(收录号：20143900071002);WOS:【SCI-EXPANDED(收录号:WOS:000342178500040)】；

基金：This work was supported by the National Science Foundation of China (grant no: 21205041).

语种：英文

外文关键词：Eigenvalues and eigenfunctions - Factor analysis - Least squares approximations - Matrix algebra - Process monitoring

摘要：A new method called fixed region scanning evolving factor analysis (FRSEFA) is proposed based on fixed-size moving window evolving factor analysis (FSMWEFA). In FRSEFA, a base set matrix X-bs that is a submatrix of the entire spectra data matrix X, corresponding to a special region in the time direction, is selected. Then, the base set X-bs combines a moving window xi containing only one time point to construct a submatrix X-t,X-i. A series of eigenvalues are obtained to accurately determine the starting time or ending point because the moving window contains only one time point, so that the problem of time shift in FSMWEFA can be solved. The combination of FRSEFA and alternating least squares (ALS) is utilized to determine the precise time of the transformation of components during the reaction and to obtain the profiles of concentration and spectrum of the components of interest in the mixture. Two real experimental data were studied by the developed algorithm. The results showed that the precise time of transformation could be obtained and spectrum and concentration profiles were also estimated, providing more useful information for reaction processes.