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Drift compensation of gas sensor array data by common principal component analysis

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dc.creator Ziyatdinov, Andrey
dc.creator Marco Colás, Santiago
dc.creator Chaudry, A.
dc.creator Persaud, K.
dc.creator Caminal, Pere
dc.creator Perera Lluna, Alexandre
dc.date 2011-02-09T12:33:13Z
dc.date 2011-02-09T12:33:13Z
dc.date 2010-04-29
dc.date.accessioned 2024-12-16T10:26:03Z
dc.date.available 2024-12-16T10:26:03Z
dc.identifier http://hdl.handle.net/2445/16102
dc.identifier 596220
dc.identifier.uri http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/20460
dc.description A new drift compensation method based on Common Principal Component Analysis (CPCA) is proposed. The drift variance in data is found as the principal components computed by CPCA. This method finds components that are common for all gasses in feature space. The method is compared in classification task with respect to the other approaches published where the drift direction is estimated through a Principal Component Analysis (PCA) of a reference gas. The proposed new method ¿ employing no specific reference gas, but information from all gases ¿has shown the same performance as the traditional approach with the best-fitted reference gas. Results are shown with data lasting 7-months including three gases at different concentrations for an array of 17 polymeric sensors.
dc.format 23 p.
dc.format application/pdf
dc.language eng
dc.publisher Elsevier B.V.
dc.relation Versió postprint del document publicat a: http://dx.doi.org/10.1016/j.snb.2009.11.034
dc.relation Sensors and Actuators B: Chemical, 2010, vol. 146, núm. 2, p. 460-465
dc.relation http://dx.doi.org/10.1016/j.snb.2009.11.034
dc.relation info:eu-repo/grantAgreement/EC/FP7/216916/EU//NEUROCHEM
dc.rights (c) Elsevier B.V. , 2009
dc.rights info:eu-repo/semantics/openAccess
dc.source Articles publicats en revistes (Enginyeria Electrònica i Biomèdica)
dc.subject Detectors de gasos
dc.subject Gas detectors
dc.title Drift compensation of gas sensor array data by common principal component analysis
dc.type info:eu-repo/semantics/article
dc.type info:eu-repo/semantics/acceptedVersion


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