Journal
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
Volume 225, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.chemolab.2022.104549
Keywords
Drift; Correction method; Gas sensors; Electronic nose; Calibrant-free; Drift; Correction method; Gas sensors; Electronic nose; Calibrant-free
Categories
Funding
- FUI-WISE AAP21 Minalogic project - BPI France
- MIAI at Univ. Grenoble Alpes [ANR-19-P3IA-0003, ANR-16-CE23-0008, ANR-18-CE42-0012]
- Agence Nationale de la Recherche (ANR) [ANR-18-CE42-0012] Funding Source: Agence Nationale de la Recherche (ANR)
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Gas sensors lack repeatability over time due to drift. We propose a model-based correction method that does not require calibration samples over time, improving the reliability of electronic noses.
Gas sensors lack repeatability over time. They are affected by drift, the result of changes at the sensor level and in the environment. A solution is to design software methods that compensate for the drift. Existing methods are often based on calibration samples acquired at the start of each new measurement session. However, finding a good reference compound is a difficult task and generating calibration samples is time-consuming. We propose a model-based correction method which does not require any calibration sample over time, operating 'blindly'. In this study, we focus on the drift affecting electronic noses. To this end, we built a real data set acquired over 9 months in real-life conditions. By using the proposed method, we show that the drift is partly compensated, thus increasing the reliability of the electronic nose. Besides, we also show that the algorithm can easily adapt if the target compounds are not all sampled during every session.
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