Title:
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Drift compensation of gas sensor array data by Orthogonal Signal Correction
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Author:
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Padilla, Marta; Perera Lluna, Alexandre; Montoliu, I.; Chaudry, A.; Persaud, K.; Marco Colás, Santiago
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Other authors:
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Universitat de Barcelona |
Abstract:
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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. |
Subject(s):
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-Detectors de gasos -Gas detectors |
Rights:
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(c) Elsevier B.V. , 2009
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Document type:
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Article Article - Accepted version |
Published by:
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Elsevier B.V.
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