Abstract: Gas-analyzing systems based on gas sensors, commonly referred to as electronic noses, are the systems which enable the recognition of volatile compounds in their working environment and provide the on-line results of analysis. The most commonly used type of sensors in such systems is semiconductor gas sensors. They are considered to be the most reliable in the long-term applications (more than 1 year), however, their signal tends to drift. Instability of semiconductor gas sensors is one of the most challenging issues to solve in order to get reliable e-nose systems. There are a few causes of drift phenomenon, like i.e. sensors poisoning or aging. On the other hand, drift-like effects are also connected with the influence of environmental parameters such as temperature, humidity or the parameters connected with measurement systems – such as gas flow rate in sensors measurement chamber. In the case of devices for air-quality monitoring, which are exposed to varying environmental conditions it is crucial to develop the robust sensor signals processing system, which is insensitive to the variation of environmental conditions. In this article we present the calibration model for an array of four semiconductor sensors which is able to eliminate the influence of temperature and gas flow rate effect from the sensor responses.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.15199/13.2015.3.12
- Category
- Aktywność konferencyjna
- Type
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language
- angielski
- Publication year
- 2014
