Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/16082
Title: Drift compensation of gas sensor array data by Orthogonal Signal Correction
Author: Padilla, M.
Perera Lluna, Alexandre
Montoliu, I.
Chaudry, A.
Persaud, K.
Marco Colás, Santiago
Keywords: Detectors de gasos
Gas detectors
Issue Date: 15-Jan-2010
Publisher: Elsevier B.V.
Abstract: Drift is an important issue that impairs the reliability of gas sensing systems. Sensor aging, memory effects and environmental disturbances produce shifts in sensor responses that make initial statistical models for gas or odor recognition useless after a relatively short period (typically few weeks). Frequent recalibrations are needed to preserve system accuracy. However, when recalibrations involve numerous samples they become expensive and laborious. An interesting and lower cost alternative is drift counteraction by signal processing techniques. Orthogonal Signal Correction (OSC) is proposed for drift compensation in chemical sensor arrays. The performance of OSC is also compared with Component Correction (CC). A simple classification algorithm has been employed for assessing the performance of the algorithms on a dataset composed by measurements of three analytes using an array of seventeen conductive polymer gas sensors over a ten month period.
Note: Versió postprint del document publicat a: http://dx.doi.org/10.1016/j.chemolab.2009.10.002
It is part of: Chemometrics and Intelligent Laboratory Systems, 2010, vol. 100, núm. 1, p. 28-35
Related resource: http://dx.doi.org/10.1016/j.chemolab.2009.10.002
URI: http://hdl.handle.net/2445/16082
ISSN: 0169-7439
Appears in Collections:Articles publicats en revistes (Electrònica)
Publicacions de projectes de recerca finançats per la UE

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