Standardization of metal oxide sensor array using artificial neural networks through experimental design
作者： Lei Zhang , Fengchun Tian , Xiongwei Peng , Lijun Dang , Guorui Li
DOI: 10.1016/J.SNB.2012.11.113
关键词: Principal component analysis 、 Electronic nose 、 Projection (set theory) 、 Calibration 、 Artificial neural network 、 Sensor array 、 Pattern recognition 、 Affine transformation 、 Computer science 、 Signal 、 Artificial intelligence
摘要: Abstract The shift in sensor signal measured by identical gas array system (commonly called an electronic nose) makes the analysis of merged measurement data difficult. This would grossly affect quantification accuracy such nose (E-nose) instruments. Thus, a real-time calibration transfer based on reference alcohol projection model (RAPT) was designed this paper which aims to project onto hazardous and set up “bridge” from instrument through three artificial neural networks (ANN), attempt solve problem between E-nose instruments array. Besides, principal component (PCA) is also used for validation different models space. For comparison, previous four including univariate direct standardization (UDS), partial least square (PLS), neural, global affine transformation robust weighted (GAT-RWLS) are presented. Qualitative quantitative results demonstrate that proposed RAPT competitive standardization.
elsevier.com
escience.cn 参考文章(23)
Qu Hai-bin, Ou Dan-lin, Cheng Yi-yu, None, Background correction in near-infrared spectra of plant extracts by orthogonal signal correction Journal of Zhejiang University-science B. ,vol. 6, pp. 838- 843 ,(2005) , 10.1631/JZUS.2005.B0838
O. Gualdrón, J. Brezmes, E. Llobet, A. Amari, X. Vilanova, B. Bouchikhi, X. Correig, Variable selection for support vector machine based multisensor systems Sensors and Actuators B-chemical. ,vol. 122, pp. 259- 268 ,(2007) , 10.1016/J.SNB.2006.05.029
Juha Karhunen, Jyrki Joutsensalo, Generalizations of principal component analysis, optimization problems, and neural networks Neural Networks. ,vol. 8, pp. 549- 562 ,(1995) , 10.1016/0893-6080(94)00098-7
Simon M. Scott, David James, Zulfiqur Ali, Data analysis for electronic nose systems Mikrochimica Acta. ,vol. 156, pp. 183- 207 ,(2006) , 10.1007/S00604-006-0623-9
M. Padilla, A. Perera, I. Montoliu, A. Chaudry, K. Persaud, S. Marco, Drift compensation of gas sensor array data by Orthogonal Signal Correction Chemometrics and Intelligent Laboratory Systems. ,vol. 100, pp. 28- 35 ,(2010) , 10.1016/J.CHEMOLAB.2009.10.002
STANISLAW OSOWSKI, KAZIMIERZ BRUDZEWSKI, TOMASZ MARKIEWICZ, JAN ULACZYK, NEURAL METHODS OF CALIBRATION OF SENSORS FOR GAS MEASUREMENTS AND AROMA IDENTIFICATION SYSTEM Journal of Sensory Studies. ,vol. 23, pp. 533- 557 ,(2008) , 10.1111/J.1745-459X.2008.00171.X
Lei Zhang, Fengchun Tian, Chaibou Kadri, Guangshu Pei, Hongjuan Li, Lina Pan, Gases concentration estimation using heuristics and bio-inspired optimization models for experimental chemical electronic nose Sensors and Actuators B-chemical. ,vol. 160, pp. 760- 770 ,(2011) , 10.1016/J.SNB.2011.08.060
Ding hui, Liu Jun-hua, Shen Zhong-ru, Drift reduction of gas sensor by wavelet and principal component analysis Sensors and Actuators B-chemical. ,vol. 96, pp. 354- 363 ,(2003) , 10.1016/S0925-4005(03)00569-0
Lei Zhang, Fengchun Tian, Chaibou Kadri, Bo Xiao, Hongjuan Li, Lina Pan, Hongwei Zhou, On-line sensor calibration transfer among electronic nose instruments for monitoring volatile organic chemicals in indoor air quality Sensors and Actuators B-chemical. ,vol. 160, pp. 899- 909 ,(2011) , 10.1016/J.SNB.2011.08.079
Tom Artursson, Tomas Ekl�v, Ingemar Lundstr�m, Per M�rtensson, Michael Sj�str�m, Martin Holmberg, Drift correction for gas sensors using multivariate methods Journal of Chemometrics. ,vol. 14, pp. 711- 723 ,(2000) , 10.1002/1099-128X(200009/12)14:5/6<711::AID-CEM607>3.0.CO;2-4