An Quality Prediction Method of Injection Molding Batch Processes Based on Sub-Stage LS-SVM

2009 ◽  
pp. 267-273
Author(s):  
XiaoPing Guo ◽  
Chao Zhang ◽  
Li Wang ◽  
Yuan Li
Keyword(s):  
Injection Molding ◽  
Prediction Method ◽  
Batch Processes ◽  
Quality Prediction

scholarly journals Slow Time-Varying Batch Process Quality Prediction Based on Batch Augmentation Analysis

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 512
Author(s):  
Luping Zhao ◽  
Xin Huang
Keyword(s):  
Prediction Method ◽  
Batch Process ◽  
Batch Processes ◽  
Data Matrix ◽  
Injection Molding Process ◽  
Quality Prediction ◽  
Time Varying ◽  
Slow Time ◽  
Process Data ◽  
Molding Process

In this paper, focusing on the slow time-varying characteristics, a series of works have been conducted to implement an accurate quality prediction for batch processes. To deal with the time-varying characteristics along the batch direction, sliding windows can be constructed. Then, the start-up process is identified and the whole process is divided into two modes according to the steady-state identification. In the most important mode, the process data matrix, used to establish the regression model of the current batch, is expanded to involve the process data of previous batches, which is called batch augmentation. Thus, the process data of previous batches, which have an important influence on the quality of the current batch, will be identified and form a new batch augmentation matrix for modeling using the partial least squares (PLS) method. Moreover, considering the multiphase characteristic, batch augmentation analysis and modeling is conducted within each phase. Finally, the proposed method is applied to a typical batch process, the injection molding process. The quality prediction results are compared with those of the traditional quality prediction method based on PLS and the ridge regression method under the proposed batch augmentation analysis framework. The conclusion is obtained that the proposed method based on the batch augmentation analysis is superior.

Quality prediction based on phase-specific average trajectory for batch processes

AIChE Journal ◽  
2008 ◽  
Vol 54 (3) ◽  
pp. 693-705 ◽  
Author(s):  
Chunhui Zhao ◽  
Fuli Wang ◽  
Zhizhong Mao ◽  
Ningyun Lu ◽  
Mingxing Jia
Keyword(s):  
Batch Processes ◽  
Quality Prediction

Self-Training Statistical Quality Prediction of Batch Processes with Limited Quality Data

2012 ◽  
Vol 52 (2) ◽  
pp. 979-984 ◽  
Author(s):  
Zhiqiang Ge ◽  
Zhihuan Song ◽  
Furong Gao
Keyword(s):  
Batch Processes ◽  
Quality Data ◽  
Quality Prediction ◽  
Statistical Quality
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