Sensors and Actuators, B: Chemical, volume 329, pages 129187

Statistical shape analysis pre-processing of temperature modulated metal oxide gas sensor response for machine learning improved selectivity of gases detection in real atmospheric conditions

Krivetskiy Valeriy ¹

Andreev Matvei D ¹

Efitorov Aleksandr O ²

Gaskov Alexander M. ¹

Hide authors affiliations Show authors affiliations: 2 affiliations

Department of Chemistry, M.V. Lomonosov Moscow State University, Leninskie Gory 1/3, Moscow, 119234, Russia |

Skobeltsyn Institute of Nuclear Physics, M.V.Lomonosov Moscow State University, Leninskie gory, GSP-1, Moscow, 119991, Russia |

Publication type: Journal Article

Publication date: 2021-02-01

Elsevier

Journal: Sensors and Actuators, B: Chemical

Quartile SCImago

Quartile WOS

Impact factor: 8.4

ISSN: 09254005

DOI: 10.1016/j.snb.2020.129187

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Materials Chemistry

Metals and Alloys

Surfaces, Coatings and Films

Electronic, Optical and Magnetic Materials

Condensed Matter Physics

Electrical and Electronic Engineering

Instrumentation

Abstract

• MOX sensors signal pre-processing methods compared for machine learning approach. • Statistical shape analysis (SSA) pre-processing is introduced and most effective. • SSA pre-processing reduces effects of signal/baseline drift and fluctuations. • The approach tested in synthetic air media and realistic air conditions. • Commercial and laboratory made sensors are used for methane, propane and CO detection. Development of new signal processing approaches is essential for improvement of the reliability of metal oxide gas sensor performance in real atmospheric conditions. Advantages statistical shape analysis (SSA) method are presented in comparison to previously reported signal pre-processing techniques – principal component analysis (PCA), discrete wavelet transform (DWT), polynomial curve fitting (PCF) – used in combination with machine learning (ML) algorithm for improvement of detection selectivity. An enhanced identification of chemically related gases (methane and propane) at a concentration range of 40−200 ppm under variable real atmospheric conditions has been demonstrated using working temperature modulated metal oxide gas sensors. Laboratory samples of sensors based on nanocrystalline SnO 2 modified with Au and Pd were used. The proposed data pre-processing algorithm is less sensitive to sensor response and baseline drift and fluctuations compared to other methods during two months of continuous operation and work with periods of inactivity. The collected dataset and signal processing code are made public. The advantages of SSA signal pre-processing method are also demonstrated with the use of independent publicly available dataset for the task of CO selective quantitative detection in the air with variable humidity in the 2.2−20 ppm concentrations range.

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Citations by journals

	1 2 3 4 5 6 7
Sensors and Actuators, B: Chemical	Sensors and Actuators, B: Chemical, 7, 17.5% Sensors and Actuators, B: Chemical 7 publications, 17.5%
Sensors	Sensors, 3, 7.5% Sensors 3 publications, 7.5%
IEEE Sensors Journal	IEEE Sensors Journal, 3, 7.5% IEEE Sensors Journal 3 publications, 7.5%
Materials	Materials, 2, 5% Materials 2 publications, 5%
Journal of Alloys and Compounds	Journal of Alloys and Compounds, 2, 5% Journal of Alloys and Compounds 2 publications, 5%
ACS Sensors	ACS Sensors, 2, 5% ACS Sensors 2 publications, 5%
Chemosensors	Chemosensors, 1, 2.5% Chemosensors 1 publication, 2.5%
Journal of Electronic Materials	Journal of Electronic Materials, 1, 2.5% Journal of Electronic Materials 1 publication, 2.5%
Journal of Materials Science: Materials in Electronics	Journal of Materials Science: Materials in Electronics, 1, 2.5% Journal of Materials Science: Materials in Electronics 1 publication, 2.5%
Chemometrics and Intelligent Laboratory Systems	Chemometrics and Intelligent Laboratory Systems, 1, 2.5% Chemometrics and Intelligent Laboratory Systems 1 publication, 2.5%
Artificial Intelligence in Medicine	Artificial Intelligence in Medicine, 1, 2.5% Artificial Intelligence in Medicine 1 publication, 2.5%
Applied Sciences (Switzerland)	Applied Sciences (Switzerland), 1, 2.5% Applied Sciences (Switzerland) 1 publication, 2.5%
Sensors and Actuators, A: Physical	Sensors and Actuators, A: Physical, 1, 2.5% Sensors and Actuators, A: Physical 1 publication, 2.5%
Advanced Functional Materials	Advanced Functional Materials, 1, 2.5% Advanced Functional Materials 1 publication, 2.5%
ACS applied materials & interfaces	ACS applied materials & interfaces, 1, 2.5% ACS applied materials & interfaces 1 publication, 2.5%
ACS Applied Electronic Materials	ACS Applied Electronic Materials, 1, 2.5% ACS Applied Electronic Materials 1 publication, 2.5%
Journal of Materials Chemistry C	Journal of Materials Chemistry C, 1, 2.5% Journal of Materials Chemistry C 1 publication, 2.5%
Chemical Communications	Chemical Communications, 1, 2.5% Chemical Communications 1 publication, 2.5%
The Analyst	The Analyst, 1, 2.5% The Analyst 1 publication, 2.5%
Applied Surface Science	Applied Surface Science, 1, 2.5% Applied Surface Science 1 publication, 2.5%
Environmental Monitoring and Assessment	Environmental Monitoring and Assessment, 1, 2.5% Environmental Monitoring and Assessment 1 publication, 2.5%
IEEE Access	IEEE Access, 1, 2.5% IEEE Access 1 publication, 2.5%
Microchemical Journal	Microchemical Journal, 1, 2.5% Microchemical Journal 1 publication, 2.5%
IEEE Internet of Things Journal	IEEE Internet of Things Journal, 1, 2.5% IEEE Internet of Things Journal 1 publication, 2.5%
Sensors & Diagnostics	Sensors & Diagnostics, 1, 2.5% Sensors & Diagnostics 1 publication, 2.5%
Microchimica Acta	Microchimica Acta, 1, 2.5% Microchimica Acta 1 publication, 2.5%
	1 2 3 4 5 6 7

Citations by publishers

	2 4 6 8 10 12 14
Elsevier	Elsevier, 14, 35% Elsevier 14 publications, 35%
Multidisciplinary Digital Publishing Institute (MDPI)	Multidisciplinary Digital Publishing Institute (MDPI), 7, 17.5% Multidisciplinary Digital Publishing Institute (MDPI) 7 publications, 17.5%
IEEE	IEEE, 5, 12.5% IEEE 5 publications, 12.5%
Springer Nature	Springer Nature, 4, 10% Springer Nature 4 publications, 10%
American Chemical Society (ACS)	American Chemical Society (ACS), 4, 10% American Chemical Society (ACS) 4 publications, 10%
Royal Society of Chemistry (RSC)	Royal Society of Chemistry (RSC), 4, 10% Royal Society of Chemistry (RSC) 4 publications, 10%
Wiley	Wiley, 1, 2.5% Wiley 1 publication, 2.5%
	2 4 6 8 10 12 14

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Krivetskiy V. et al. Statistical shape analysis pre-processing of temperature modulated metal oxide gas sensor response for machine learning improved selectivity of gases detection in real atmospheric conditions // Sensors and Actuators, B: Chemical. 2021. Vol. 329. p. 129187.

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Krivetskiy V., Andreev M. D., Efitorov A. O., Gaskov A. M. Statistical shape analysis pre-processing of temperature modulated metal oxide gas sensor response for machine learning improved selectivity of gases detection in real atmospheric conditions // Sensors and Actuators, B: Chemical. 2021. Vol. 329. p. 129187.

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RIS Copy

TY - JOUR

DO - 10.1016/j.snb.2020.129187

UR - https://doi.org/10.1016%2Fj.snb.2020.129187

TI - Statistical shape analysis pre-processing of temperature modulated metal oxide gas sensor response for machine learning improved selectivity of gases detection in real atmospheric conditions

T2 - Sensors and Actuators, B: Chemical

AU - Krivetskiy, Valeriy

AU - Andreev, Matvei D

AU - Efitorov, Aleksandr O

AU - Gaskov, Alexander M.

PY - 2021

DA - 2021/02/01 00:00:00

PB - Elsevier

SP - 129187

VL - 329

SN - 0925-4005

ER -

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@article{2021_Krivetskiy,

author = {Valeriy Krivetskiy and Matvei D Andreev and Aleksandr O Efitorov and Alexander M. Gaskov},

title = {Statistical shape analysis pre-processing of temperature modulated metal oxide gas sensor response for machine learning improved selectivity of gases detection in real atmospheric conditions},

journal = {Sensors and Actuators, B: Chemical},

year = {2021},

volume = {329},

publisher = {Elsevier},

month = {feb},

url = {https://doi.org/10.1016%2Fj.snb.2020.129187},

pages = {129187},

doi = {10.1016/j.snb.2020.129187}

}

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Publisher

Elsevier

Journal

Sensors and Actuators, B: Chemical

Quartile SCImago

Quartile WOS

Impact factor

8.4

ISSN

09254005 (Print)

Labs

Laboratory of Chemistry and Physics of Semiconductor and Sensor Materials

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