Phase Transition Analysis Based Quality Prediction for Multi-phase Batch Processes<sup>*</sup>

赵露平; 赵春晖; 高福荣

Your Location：

Home >

Browse articles >

Phase Transition Analysis Based Quality Prediction for Multi-phase Batch Processes^*

Updated：2026-01-06

- Phase Transition Analysis Based Quality Prediction for Multi-phase Batch Processes^*
- Chinese Journal of Chemical Engineering Vol. 20, Issue 6, Pages: 1191-1197(2012)
- Affiliations：
  
  1. State Key Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University,Hangzhou,China,310027
  2. Department of Chemical and Biomolecular Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon,Hong Kong,China
- Author bio：
- Funds：
- DOI：
  CLC：
- Published：2012
- Accepted：
Scan QR Code
[J]. Chinese Journal of Chemical Engineering, 2012, 20(6): 1191-1197.
DOI：

[J]. Chinese Journal of Chemical Engineering, 2012, 20(6): 1191-1197. DOI：

摘要

Abstract

Batch processes are usually involved with multiple phases in the time domain and many researches on process monitoring as well as quality prediction have been done using phase information.However

few of them consider phase transitions

though they exit widely in batch processes and have non-ignorable impacts on product qualities.In the present work

a phase-based partial least squares (PLS) method utilizing transition information is proposed to give both online and offline quality predictions.First

batch processes are divided into several phases using regression parameters other than prior process knowledge.Then both steady phases and transitions which have great influences on qualities are identified as critical-to-quality phases using statistical methods.Finally

based on the analysis of different characteristics of transitions and steady phases

an integrated algorithm is developed for quality prediction.The application to an injection molding process shows the effectiveness of the proposed algorithm in comparison with the traditional MPLS method and the phase-based PLS method.

关键词

Keywords

references

Views

1336

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Quality related fault detection based on dynamic-inner convolutional autoencoder and partial least squares and its application to ironmaking process

Characterization and structure analysis of the heterosolvate of erythromycin thiocyanate

Unravel the potential of zinc oxide nanoparticle-carbonized sawdust matrix for removal of lead (II) ions from aqueous solution

A heuristic design method for batch water-using networks of multiple contaminants with regeneration unit

CFD study on double-to single-loop flow pattern transition and its influence on macro mixing efficiency in fully baffled tank stirred by a Rushton turbine

Related Author

Hu Yaowu

Jiang Jian

Wu Zhenquan

Hu Xuguang

Wang Huaimin

Ni Yuxuan

Wu Ping

Jiting Huang

Related Institution

Jinyun Research Institute, Zhejiang Sci-Tech University, Jinyun

Zhejiang Deli Machine Manufacturer Co., Ltd.

Zhejiang Sanhua Automotive Components Co., Ltd.

Changshan Research Institute, Zhejiang Sci-Tech University, Changshan

School of Information Science and Engineering, Zhejiang Sci-Tech University

⁰