A Hybrid Methodology For On-Line Process Monitoring
Abstract
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-à-vis current practice.Recommended Citation
Kumar, Rakesh; Jade, Avinash M.; Jayaraman, Valadi K.; and Kulkarni, Bhaskar D.
(2004)
"A Hybrid Methodology For On-Line Process Monitoring,"
International Journal of Chemical Reactor Engineering:
Vol. 2:
A14.
Available at: http://www.bepress.com/ijcre/vol2/A14
