A Comparison of the Multivariate Calibration Methods with Feature Selection for Gas Sensors’ Long‐Term Drift Effect

Authors : Gülnur Begüm ERGÜN, Selda GÜNEY

Pages : 170-176

View : 15 | Download : 7

Publication Date : 2019-12-30

Article Type : Research Paper

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 insert ignore into journalissuearticles values(DS); orthogonal signal correction insert ignore into journalissuearticles values(OSC); and piecewise direct standardization insert ignore into journalissuearticles values(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
Keywords : Kalibrasyon transferi, Öznitelik seçimi, Gaz sensörleri, Çok değişkenli sapma düzeltme, Standartlaştırma yöntemleri