Extraction and evaluation of gas-flow-dependent features from dynamic measurements of gas sensors array
Abstract
Gas analyzers based on gas sensors are the devices which enable recognition of various kinds of volatile compounds. They have continuously been developed and investigated for over three decades, however there are still limitations which slow down the implementation of those devices in many applications. For example, the main drawbacks are the lack of selectivity, sensitivity and long term stability of those devices caused by the drift of the sensors. This implies the necessity of investigations not only in the field of development of gas sensors construction, but also the development of measurement procedures or methods of analysis of sensor responses which compensate the limitations of sensors devices. One of the fields of investigations covers the dynamic measurements of sensors or sensor-arrays response with the utilization of flow modulation techni ques. Different gas delivery patterns enable the possibility of extraction of unique features which improves the stability and selectivity of gas detecting systems. In this article an overview of three utilized flow modulation techniques is presented, together with the propos ition of the evaluation method of their usefulness and robustness in environmental pollutants detecting systems. The preliminary results of dynamic measurements of an commercially available TGS sensor array in the presence of nitrogen dioxide and ammonia are shown.
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Details
- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- 14th International Conference on Optical and Electronic Sensors (COE16)
- Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Kalinowski P., Woźniak Ł., Jasiński G., Jasiński P..: Extraction and evaluation of gas-flow-dependent features from dynamic measurements of gas sensors array, W: 14th International Conference on Optical and Electronic Sensors (COE16), 2016, ,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1117/12.2247541
- Verified by:
- Gdańsk University of Technology
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