Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring

A method for online decorrelation of chemical sensor signals from the effects of environmental humidity and temperature variations is proposed. The goal is to improve the accuracy of electronic nose measurements for continuous monitoring by processing data from simultaneous readings of environmental...

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Detalles Bibliográficos
Autores: Huerta, Ramon, Mosqueiro, Thiago, Fonollosa Magrinyà, Jordi|||0000-0001-8854-8588, Rulkov, Nikolai, Rodriguez Lujan, Irene
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/119106
Acceso en línea:https://hdl.handle.net/2117/119106
https://dx.doi.org/10.1016/j.chemolab.2016.07.004
Access Level:acceso abierto
Palabra clave:Chemical detectors
Electronic nose
Chemical sensors
Humidity
Temperature
Decorrelation
Wireless e-nose
MOX sensors
Energy band model
Home monitoring
Detectors -- Aparells i instruments
Sensors químics
Àrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadors
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oai_identifier_str oai:upcommons.upc.edu:2117/119106
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spelling Online decorrelation of humidity and temperature in chemical sensors for continuous monitoringHuerta, RamonMosqueiro, ThiagoFonollosa Magrinyà, Jordi|||0000-0001-8854-8588Rulkov, NikolaiRodriguez Lujan, IreneChemical detectorsElectronic noseChemical sensorsHumidityTemperatureDecorrelationWireless e-noseMOX sensorsEnergy band modelHome monitoringDetectors -- Aparells i instrumentsSensors químicsÀrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadorsA method for online decorrelation of chemical sensor signals from the effects of environmental humidity and temperature variations is proposed. The goal is to improve the accuracy of electronic nose measurements for continuous monitoring by processing data from simultaneous readings of environmental humidity and temperature. The electronic nose setup built for this study included eight metal-oxide sensors, temperature and humidity sensors with a wireless communication link to external computer. This wireless electronic nose was used to monitor the air for two years in the residence of one of the authors and it collected data continuously during 537 days with a sampling rate of 1 sample per second. To estimate the effects of variations in air humidity and temperature on the chemical sensors' signals, we used a standard energy band model for an n-type metal-oxide (MOX) gas sensor. The main assumption of the model is that variations in sensor conductivity can be expressed as a nonlinear function of changes in the semiconductor energy bands in the presence of external humidity and temperature variations. Fitting this model to the collected data, we confirmed that the most statistically significant factors are humidity changes and correlated changes of temperature and humidity. This simple model achieves excellent accuracy with a coefficient of determination R2 close to 1. To show how the humidity–temperature correction model works for gas discrimination, we constructed a model for online discrimination among banana, wine and baseline response. This shows that pattern recognition algorithms improve performance and reliability by including the filtered signal of the chemical sensors.20162016-07-1520182018-07-09journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/119106https://dx.doi.org/10.1016/j.chemolab.2016.07.004reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1191062026-05-27T15:37:01Z
dc.title.none.fl_str_mv Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring
title Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring
spellingShingle Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring
Huerta, Ramon
Chemical detectors
Electronic nose
Chemical sensors
Humidity
Temperature
Decorrelation
Wireless e-nose
MOX sensors
Energy band model
Home monitoring
Detectors -- Aparells i instruments
Sensors químics
Àrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadors
title_short Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring
title_full Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring
title_fullStr Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring
title_full_unstemmed Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring
title_sort Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring
dc.creator.none.fl_str_mv Huerta, Ramon
Mosqueiro, Thiago
Fonollosa Magrinyà, Jordi|||0000-0001-8854-8588
Rulkov, Nikolai
Rodriguez Lujan, Irene
author Huerta, Ramon
author_facet Huerta, Ramon
Mosqueiro, Thiago
Fonollosa Magrinyà, Jordi|||0000-0001-8854-8588
Rulkov, Nikolai
Rodriguez Lujan, Irene
author_role author
author2 Mosqueiro, Thiago
Fonollosa Magrinyà, Jordi|||0000-0001-8854-8588
Rulkov, Nikolai
Rodriguez Lujan, Irene
author2_role author
author
author
author
dc.subject.none.fl_str_mv Chemical detectors
Electronic nose
Chemical sensors
Humidity
Temperature
Decorrelation
Wireless e-nose
MOX sensors
Energy band model
Home monitoring
Detectors -- Aparells i instruments
Sensors químics
Àrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadors
topic Chemical detectors
Electronic nose
Chemical sensors
Humidity
Temperature
Decorrelation
Wireless e-nose
MOX sensors
Energy band model
Home monitoring
Detectors -- Aparells i instruments
Sensors químics
Àrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadors
description A method for online decorrelation of chemical sensor signals from the effects of environmental humidity and temperature variations is proposed. The goal is to improve the accuracy of electronic nose measurements for continuous monitoring by processing data from simultaneous readings of environmental humidity and temperature. The electronic nose setup built for this study included eight metal-oxide sensors, temperature and humidity sensors with a wireless communication link to external computer. This wireless electronic nose was used to monitor the air for two years in the residence of one of the authors and it collected data continuously during 537 days with a sampling rate of 1 sample per second. To estimate the effects of variations in air humidity and temperature on the chemical sensors' signals, we used a standard energy band model for an n-type metal-oxide (MOX) gas sensor. The main assumption of the model is that variations in sensor conductivity can be expressed as a nonlinear function of changes in the semiconductor energy bands in the presence of external humidity and temperature variations. Fitting this model to the collected data, we confirmed that the most statistically significant factors are humidity changes and correlated changes of temperature and humidity. This simple model achieves excellent accuracy with a coefficient of determination R2 close to 1. To show how the humidity–temperature correction model works for gas discrimination, we constructed a model for online discrimination among banana, wine and baseline response. This shows that pattern recognition algorithms improve performance and reliability by including the filtered signal of the chemical sensors.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-07-15
2018
2018-07-09
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/119106
https://dx.doi.org/10.1016/j.chemolab.2016.07.004
url https://hdl.handle.net/2117/119106
https://dx.doi.org/10.1016/j.chemolab.2016.07.004
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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