Online Modeling with Semi-Supervised Locally Weighted Partial Least Squares Based on Expectation Maximization Algorithm

Authors

Weili Xiong, 1.School of Internet of Things Engineering, Institute of Automation, Jiangnan University, Wuxi 214122, China; ;2.Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, China;
Mingchen Xue, 1.School of Internet of Things Engineering, Institute of Automation, Jiangnan University, Wuxi 214122, China; ;
Yanjun Li, 1.School of Internet of Things Engineering, Institute of Automation, Jiangnan University, Wuxi 214122, China; ;

Abstract

Abstract: As only small proportion of labeled data can be obtained from chemical processes, an online soft sensing modeling method based on semi-supervised locally weighted partial least squares is proposed . The labeled and unlabeled historical data are accumulated to construct training database. The similarity between the newly measured data and the sample points in the database are calculated and used as the weight of each data point. The semi-supervised locally weighted partial least squares model is constructed, and the Expectation Maximization (EM) algorithm is employed to estimate the parameters of the model. Online prediction achieves simulation results of debutanizer distillation processes, which suggests that the proposed method has good prediction accuracy and stable generalization performance.

Recommended Citation

Xiong, Weili; Xue, Mingchen; and Li, Yanjun (2019) "Online Modeling with Semi-Supervised Locally Weighted Partial Least Squares Based on Expectation Maximization Algorithm," Journal of System Simulation: Vol. 30: Iss. 1, Article 2.
DOI: 10.16182/j.issn1004731x.joss.201801002
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss1/2

First Page

8

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201801002

Last Page

10

CLC

TP391

Recommended Citation

Xiong Weili, Xue Mingchen, Li Yanjun. Online Modeling with Semi-Supervised Locally Weighted Partial Least Squares Based on Expectation Maximization Algorithm[J]. Journal of System Simulation, 2018, 30(1): 8-10.

DOI

10.16182/j.issn1004731x.joss.201801002