Ensemble Just-In-Time Learning-Based Soft Sensor for Mooney Viscosity Prediction in an Industrial Rubber Mixing Process
Joint Authors
Jin, Huaiping
Li, Jiangang
Wang, Meng
Qian, Bin
Yang, Biao
Li, Zheng
Shi, Lixian
Source
Advances in Polymer Technology
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-27
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The lack of online sensors for Mooney viscosity measurement has posed significant challenges for enabling efficient monitoring, control, and optimization of industrial rubber mixing process.
To obtain real-time and accurate estimations of Mooney viscosity, a novel soft sensor method, referred to as multimodal perturbation- (MP-) based ensemble just-in-time learning Gaussian process regression (MP-EJITGPR), is proposed by exploiting ensemble JIT learning.
This method employs perturbations on similarity measure and input variables for generating the diversity of JIT learners.
Furthermore, a set of accurate and diverse JIT learners are built through an evolutionary multiobjective optimization by balancing the accuracy and diversity objectives explicitly.
Moreover, all base JIT learners are combined adaptively using a finite mixture mechanism.
The proposed method is applied to an industrial rubber mixing process for Mooney viscosity prediction, and the experimental results demonstrate its effectiveness and superiority over traditional soft sensor methods.
American Psychological Association (APA)
Jin, Huaiping& Li, Jiangang& Wang, Meng& Qian, Bin& Yang, Biao& Li, Zheng…[et al.]. 2020. Ensemble Just-In-Time Learning-Based Soft Sensor for Mooney Viscosity Prediction in an Industrial Rubber Mixing Process. Advances in Polymer Technology،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1130307
Modern Language Association (MLA)
Jin, Huaiping…[et al.]. Ensemble Just-In-Time Learning-Based Soft Sensor for Mooney Viscosity Prediction in an Industrial Rubber Mixing Process. Advances in Polymer Technology No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1130307
American Medical Association (AMA)
Jin, Huaiping& Li, Jiangang& Wang, Meng& Qian, Bin& Yang, Biao& Li, Zheng…[et al.]. Ensemble Just-In-Time Learning-Based Soft Sensor for Mooney Viscosity Prediction in an Industrial Rubber Mixing Process. Advances in Polymer Technology. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1130307
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130307