A novel Q-based online model updating strategy and its application in statistical process control for rubber mixing

Chunying Zhang; Sun Chen; Fang Wu; Kai Song

doi:10.1016/j.cjche.2014.11.029

Your Location：

Home >

Browse articles >

A novel Q-based online model updating strategy and its application in statistical process control for rubber mixing

过程系统工程与过程安全 | Updated：2026-01-06

- A novel Q-based online model updating strategy and its application in statistical process control for rubber mixing
- Chinese Journal of Chemical Engineering Vol. 23, Issue 5, Pages: 796-803(2015)
- Affiliations：
  
  School of Chemical Engineering and Technology, Tianjin University,Tianjin,China,300072
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2014.11.029
  CLC：
- Published：2015
- Accepted：
Scan QR Code
-based online model updating strategy and its application in statistical process control for rubber mixing[J]. Chinese Journal of Chemical Engineering, 2015, 23(5): 796-803.
DOI：

-based online model updating strategy and its application in statistical process control for rubber mixing[J]. Chinese Journal of Chemical Engineering, 2015, 23(5): 796-803. DOI： 10.1016/j.cjche.2014.11.029.

摘要

Abstract

To overcome the large time-delay in measuring the hardness of mixed rubber

rheological parameters were used to predict the hardness. A novel Q-based model updating strategy was proposed as a universal platform to track time-varying properties. Using a few selected support samples to update the model

the strategy could dramatically save the storage cost and overcome the adverse influence of lowsignal-to-noise ratio samples.Moreover

it could be applied to any statistical processmonitoring systemwithout drastic changes to them

which is practical for industrial practices. As examples

the Q-based strategy was integrated with three popular algorithms (partial least squares (PLS)

recursive PLS (RPLS)

and kernel PLS (KPLS)) to form novel regression ones

QPLS

QRPLS and QKPLS

respectively. The applications for predicting mixed rubber hardness on a large-scale tire plant in east China prove the theoretical considerations.

关键词

Keywords

references

Views

146

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Wear resistance performance of high entropy alloy–ceramic coating composites synthesized via a novel combined process

Research on fault detection method for heat pump air conditioning system under cold weather

Synergistic pre-impregnation and templating strategy for constructing seaweed-based porous biochar with highly efficient Hg2+ adsorption performance

Variable pseudo-particle modeling for molecular dynamics simulation

Thermodynamic feasibility of nickel and cerium oxides as versatile oxygen carriers in chemical looping reforming of methane-rich feedstocks

Related Author

Junyu Chen

Yu Yang

Yuzheng Pan

Yang You

Liwen Hu

Meilong Hu

Liangliang Sun

Jianghua Wu

Related Institution

College of Materials Science and Engineering, Chongqing University

Chongqing Key Laboratory of Vanadium-Titanium Metallurgy and New Materials, Chongqing University

Electrical Engineering, University of Connecticut, Storrs

⁰