Date of Award
Spring 5-1-2015
Degree Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Computing
School
Computing Sciences and Computer Engineering
Committee Chair
Randy Buchanan
Committee Chair Department
Computing
Committee Member 2
Paige Buchanan
Committee Member 2 Department
Chemistry and Biochemistry
Committee Member 3
Amer Dawoud
Committee Member 3 Department
Computing
Committee Member 4
Zhaoxian Zhou
Committee Member 4 Department
Computing
Committee Member 5
Andrew Sung
Committee Member 5 Department
Computing
Abstract
Selective detection of organic contaminant using widely available and inexpensive metal oxide sensors has the potential to be used in various robotic platforms for navigation, harmful chemical leak detection, mobile environmental monitoring, etc. Selective gas detection in real world environments using easily available sensors has not been reported and can be used in many industries. A sensor system using only four commercially available sensors with accompanying signal conditioning and clustering algorithm capable of discriminatory detection of chemical marker is possible. Tests have shown that temperature, humidity and concentration fluctuations can be accounted for to produce systems for real world environments. An algorithm that accounts for sensor fouling and degradation is produced to achieve a repeatability rate of ninety three percent in a simulated real world environment.
Copyright
2015, Anton Dmitrievich Netchaev
Recommended Citation
Netchaev, Anton Dmitrievich, "Selective Detection of Volatile Organic Compounds Using Metal Oxide Sensor Arrays" (2015). Dissertations. 18.
https://aquila.usm.edu/dissertations/18