A Hybrid Methodology For On-Line Process Monitoring

被引:0
|
作者
Kumar, Rakesh [1 ]
Jade, Avinash M. [1 ]
Jayaraman, Valadi K. [1 ]
Kulkarni, Bhaskar D. [1 ]
机构
[1] Natl Chem Lab, Div Chem Engn, Pune, Maharashtra, India
关键词
Process monitoring; locally linear embedding; abnormality detection; support vector domain distribution; novelty detection; single class classification;
D O I
暂无
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
A hybrid strategy of using (i) locally linear embedding for nonlinear dimensionality reduction of high dimensional data and (ii) support vector machines for classification of the resultant features is proposed as a robust methodology for process monitoring. Illustrative examples substantiate the methodology vis-a-vis current practice.
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页数:20
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