Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9700850 | Sensors and Actuators B: Chemical | 2005 | 7 Pages |
Abstract
We demonstrate the possibility to use a low-cost chemical sensor array to monitor a small-scaled boiler. By using metal oxide sensors, metal insulator silicon carbide field effect transistors, and by applying multivariate data modeling, promising results have been obtained. The data modeling was made using a joint approach based on blind source separations and multiple linear regressions. This approach showed similar result compared to results from the well-known PLSR algorithm.
Keywords
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Henrik Petersson, Martin Holmberg,