Recursive Gaussian Process Regression Model for Adaptive Quality Monitoring in Batch Processes
Joint Authors
Chen, Junghui
Zhou, Le
Song, Zhihuan
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-08
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In chemical batch processes with slow responses and a long duration, it is time-consuming and expensive to obtain sufficient normal data for statistical analysis.
With the persistent accumulation of the newly evolving data, the modelling becomes adequate gradually and the subsequent batches will change slightly owing to the slow time-varying behavior.
To efficiently make use of the small amount of initial data and the newly evolving data sets, an adaptive monitoring scheme based on the recursive Gaussian process (RGP) model is designed in this paper.
Based on the initial data, a Gaussian process model and the corresponding SPE statistic are constructed at first.
When the new batches of data are included, a strategy based on the RGP model is used to choose the proper data for model updating.
The performance of the proposed method is finally demonstrated by a penicillin fermentation batch process and the result indicates that the proposed monitoring scheme is effective for adaptive modelling and online monitoring.
American Psychological Association (APA)
Zhou, Le& Chen, Junghui& Song, Zhihuan. 2015. Recursive Gaussian Process Regression Model for Adaptive Quality Monitoring in Batch Processes. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074663
Modern Language Association (MLA)
Zhou, Le…[et al.]. Recursive Gaussian Process Regression Model for Adaptive Quality Monitoring in Batch Processes. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1074663
American Medical Association (AMA)
Zhou, Le& Chen, Junghui& Song, Zhihuan. Recursive Gaussian Process Regression Model for Adaptive Quality Monitoring in Batch Processes. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074663
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074663