TY - GEN
T1 - On-line drift reduction for portable electronic nose instrument in monitoring indoor formaldehyde
AU - Feng, Jingwei
AU - Tian, Fengchun
AU - Hu, Bo
AU - Ye, Qi
AU - Xiao, Bo
AU - Guo, Jielian
PY - 2012
Y1 - 2012
N2 - In this paper, a new on-line drift reduction method based on component correction method is proposed for using in a portable electronic nose (Enose) instrument which is used for real-time monitoring indoor formaldehyde. For a portable Enose instrument which is used indoors, the external conditions are changed from time to time, so the drift direction cannot be easily obtained by using component correction method. Support vector machines (SVM) is used for predicting baseline of each sensor in portable Enose instrument. According baseline prediction and correction, the drift direction is obtained, and reduced by using component correction. And then, another SVM is used for predicting the concentration of formaldehyde. The results show that the method works efficiently for a portable Enose instrument which is used for real-time monitoring indoor formaldehyde.
AB - In this paper, a new on-line drift reduction method based on component correction method is proposed for using in a portable electronic nose (Enose) instrument which is used for real-time monitoring indoor formaldehyde. For a portable Enose instrument which is used indoors, the external conditions are changed from time to time, so the drift direction cannot be easily obtained by using component correction method. Support vector machines (SVM) is used for predicting baseline of each sensor in portable Enose instrument. According baseline prediction and correction, the drift direction is obtained, and reduced by using component correction. And then, another SVM is used for predicting the concentration of formaldehyde. The results show that the method works efficiently for a portable Enose instrument which is used for real-time monitoring indoor formaldehyde.
KW - baseline correction
KW - component correction
KW - Electronic noses
KW - support vector machines
UR - http://www.scopus.com/inward/record.url?scp=84872588976&partnerID=8YFLogxK
M3 - Conference Proceeding
AN - SCOPUS:84872588976
SN - 9781467322478
T3 - International Conference on Control, Automation and Systems
SP - 1088
EP - 1092
BT - ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems
T2 - 2012 12th International Conference on Control, Automation and Systems, ICCAS 2012
Y2 - 17 October 2012 through 21 October 2012
ER -