Search
EVALUATION OF THE NO2CONCENTRATION PREDICTION POSSIBILITYBASED ON STATIC AND DYNAMIC RESPONSES OF TGS SENSORSAT CHANGING HUMIDITY LEVELS
Abstract
The commercially available metal-oxide TGS sensors are widely used in many applications due to thefact that they are inexpensive and considered to be reliable. However, they are partially selective and theirresponses are influenced by various factors,e.g. temperature or humidity level. Therefore, it is importanttodesign a proper analysis system of the sensor responses. In this paper, the results of examinations of eightcommercial TGS sensors combined in an array and measured over a period of a few months for the purposeof prediction of nitrogen dioxide concentration are presented. The measurements were performed at differentrelative humidity levels. PLS regression was employed as a method of quantitative analysis of the obtainedsensor responses. The results of NO2concentration prediction based on static and dynamic responses ofsensors are compared. It is demonstrated that it is possibleto predict the nitrogen dioxide concentrationdespite the influence of humidity
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Authors (4)
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.24425/mms.2020.131716
- License
-
open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
Metrology and Measurement Systems
no. 27,
pages 167 - 179,
ISSN: 0860-8229 - Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Kalinowski P., Woźniak Ł., Jasiński G., Jasiński P.: EVALUATION OF THE NO2CONCENTRATION PREDICTION POSSIBILITYBASED ON STATIC AND DYNAMIC RESPONSES OF TGS SENSORSAT CHANGING HUMIDITY LEVELS// Metrology and Measurement Systems -Vol. 27,iss. 1 (2020), s.167-179
- DOI:
- Digital Object Identifier (open in new tab) 10.24425/mms.2020.131716
- Sources of funding:
-
- Statutory activity/subsidy
- Project Wieloczujnikowy system pomiaru zanieczyszczeń powietrza
- Verified by:
- Gdańsk University of Technology
seen 182 times