A method of Gas sensor drift compensation based on intrinsic characteristics of response curve

Sensor drift is an inevitable and challenging problem in gas sensing and an important problem in signal processing, as it seriously affects the detection performance and service life of sensor. In this study, a new sensor drift compensation method, which is based on intrinsic characteristic of sensory response, is proposed. The dataset for two different volatile organic compounds with a period of 36 months are employed and two kinds of features (one is steady-state feature, another is transient feature) are extracted. Their relationship is built and its change rule with sensor drift is explored. Then, drift compensation method is processed based on the change rule through iteration making the drifted sensor features adjusted to the value of month 1, which is considered as having no drift phenomenon. Moreover, the process is rapid. Finally, SVM is employed for proving the performance of the sensor drift compensation method proposed in this study. The results show the efficacy of 22 month of continuous monitoring, which has been enough for most application scenario, and almost 20% of increasement of correct classification rate of SVM after drift compensation, which indicates the effect of drift compensation method.