DocumentCode :
3390898
Title :
A mixed gas sensor system based on thin film SAW sensor array and neural network
Author :
Li, Jun
Author_Institution :
Texas Univ. Southwestern Med. Center, Dallas, TX, USA
fYear :
1993
fDate :
1993
Firstpage :
179
Lastpage :
181
Abstract :
A mixed gases (NOx and CO) measurement system based on surface acoustic wave (SAW) sensor array and neural network with continuous valued output style was developed. Sensor unit optimal designing sensor array and neural network construction were studied and the evaluation of the system was undertaken. This method could improve the precision of the measurement to 8% in the range of 0-30 p.p.M.
Keywords :
gas sensors; neural nets; surface acoustic wave devices; thin film devices; CO; NOx; continuous valued output style; measurement precision; mixed gas sensor system; neural network; optimal design; surface acoustic wave; thin film SAW sensor array; Acoustic measurements; Acoustic sensors; Acoustic waves; Gas detectors; Gases; Neural networks; Sensor arrays; Sensor systems; Surface acoustic waves; Thin film sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering Conference, 1993., Proceedings of the Twelfth Southern
Conference_Location :
New Orleans, LA, USA
Print_ISBN :
0-7803-0976-6
Type :
conf
DOI :
10.1109/SBEC.1993.247403
Filename :
247403
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=3390898
بازگشت