Production Design Method Based on Latent Variable Model for Industry Processes

doi:10.3969/j.issn.1005-3026.2015.10.009

Abstract

Abstract: In view of determining the manipulated variables in the industrial control process and solving the null space problems during the production design of the complex industrial process， an in-depth study about the application strategy of the principal component regression was done on the basis of the existing multi-latent variable modeling methods. In addition， a production design strategy based on the latent variable was proposed. Compared with the standard regression model， the advantages of the multivariate latent variable method on solving production design problems were revealed. The proposed design method could not only satisfy the requirement of product quality， but also be consistent with the correlation structure of the historical condition and scope， which could be regarded as a feasible scheme to solve the null space problems. The simulation results showed the effectiveness of the designed method for solving production design problems of null space.

Key words: product design, principal component regression, null space, multivariate latent variable, model

CLC Number:

TP302.1

WANG Xiao-gang， SHA Yi， ZHU Li-chun. Production Design Method Based on Latent Variable Model for Industry Processes[J]. Journal of Northeastern University:Natural Science, 2015, 36(10): 1408-1411.

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