A LASSO-based batch process modeling and end-product quality prediction method

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• 作者：Zhengbing Yan^* ; Chih-Chiun Chiu^* ; Weiwei Dong^** ; Yuan Yao^* ; ^{yyao@mx.nthu.edu.tw" class="auth_mail" title="E-mail the corresponding author}
• 刊名：IFAC-PapersOnLine
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：47
• 期：3
• 页码：6704-6709
• 全文大小：551 K

文摘

A least absolute shrinkage and selection operator (LASSO) based batch process modeling and end-product quality prediction method is developed in this paper, which overcomes the shortcomings of both multiway partial least squares (MPLS) and the phase-based methods. The proposed phase-LASSO approach models not only the phase characteristics but also the within-phase and between-phase time-dependent information. In the meantime, it automatically selects the critical-to-quality phases via LASSO-type regularization. As a result, phase-LASSO has good prediction accuracy and model interpretation. The effectiveness of the proposed method is illustrated by the case study on injection molding.