@article{article_670251, title={A Comparison of the Multivariate Calibration Methods with Feature Selection for Gas Sensors’ Long‐Term Drift Effect}, journal={Uluslararası Teknolojik Bilimler Dergisi}, volume={11}, pages={170–176}, year={2019}, author={Ergün, Gülnur Begüm and Güney, Selda}, keywords={Calibration transfer,Feature selection,Gas sensors,Multivariate drift correction,Standardization methods}, abstract={In many electronic nose applications where gas sensors utilizing for a
long time, there is an undesirable drift effect on the sensors, which affects the
classification quality negatively. Although the sensor drift is inevitable, it is
possible to reduce this effect with the calibration transfer methods. This paper
presents a comparison study of various multivariate standardization methods to
facilitate an effective calibration way on a comprehensive dataset, which is
reachable on‐line. In this study, three methods applied: direct standardization (DS)
orthogonal signal correction (OSC) and piecewise direct standardization (PDS). In
addition, these three methods are applied data, which consisted of selected
features. The results have shown that the classification success has increased with
multivariate calibration technique applied to the selected features. The results also
demonstrate that using the best features in the signal processing part can play an
important role for the calibration}, number={3}, publisher={Isparta University of Applied Sciences}