A Batch Process Monitoring Method Using Two-Dimensional Localized Dynamic Support Vector Data Description

In order to mine the local behavior and dynamic characteristic of batch process data for effective process monitoring, a two-dimensional localized dynamic support vector data description (TLDSVDD) method is proposed in this article. The main contributions of the proposed method include three aspects...

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.181192-181204
Hauptverfasser:	Wang, Xiaohui, Wang, Yanjiang, Deng, Xiaogang, Cao, Yuping
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical models Batch process monitoring Batch production systems Bayesian analysis Data models Data processing Dynamic characteristics Feature extraction local information mining Monitoring Process variables slow feature analysis Statistical inference support vector data description Support vector machines Training data
Online-Zugang:	Volltext
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