ALGORITHM FOR PROCESSING GAS SENSOR’S RESPONSE KINETICS DATA USING EXTENDED EXPONENTIAL FUNCTION WITHOUT NUMERICAL DIFFERENTIATION
DOI:
https://doi.org/10.34185/1562-9945-1-144-2023-04Keywords:
gas sensor, response, kinetics, stretched exponential function, algorithm, information-measuring system, softwareAbstract
The features of the use of computer technologies for processing experimental data for solv-ing the problems of automation of research of materials for gas sensitive sensors are con-sidered. An algorithm for processing the kinetic dependence of the response of gas sensors based on the model of an extended exponential function are proposed, which does not use numerical differentiation operations when finding the parameters of this model. This allows to signifi-cantly reduce the influence of the presence of data spread in the coordinates of the approxi-mating diagrams that are used in calculating the model parameters, increase the accuracy of their determination and contribute to the implementation of an automated information measuring system for the process of computer processing and analysis of experimental data.
References
Klimentiev A.A. Methods for processing very large amounts of data in a distribut-ed heterogeneous computer environment for applications in high energy physics and nuclear physics. Physics of elementary particles and the atomic nucleus. 2020. V. 51. Issue. 6. S. 1175-1303.
Labunets V.G., Kokh E.V., Ostheimer E. Algebraic models and methods of com-puter image processing. Part 1. Multiplet models of multichannel images //Computer Optics. - 2018. - T. 42. - No. 1.
Himanen, L., Geurts, A., Foster, A. S., & Rinke, P. Data-driven materials science: status, challenges, and perspectives. Advanced Science, 2019. V.6. No. 21. P. 1900808.1-1900808.23.
A.V. Pochinok, V.T. Lazurik, F.F. Tseluiko, and E.V. Borgun, Russ. Computer pro-cessing of the measurement results of the characteristics of the plasma ultraviolet source. Bulletin of Kharkiv National University Series of physics ≪Kernels, particles, fields≫2008. No. 859. P. 59-64.
Selivanova Z.M., Stasenko K.S. Theoretical foundations for constructing intelli-gent information-measuring systems for tolerance control of thermal conductivity of heat-insulating materials: monograph. Tambov: Publishing House of FGBOU VPO "TSTU", 2015. 200 p.
Tonkoshkur, A.S., Lyashkov, A.Y., & Povzlo, E.L. (2018). Kinetics of Response of ZnO-Ag Ceramics for Resistive Gas Sensor to the Impact of Methane, and its Analy-sis Using a Stretched Exponential Function. Sensors and Actuators B: Chemical. Vol. 255, Part 2. February, P. 1680-1686. https://doi.org/10.1016/j.snb.2017.08.171
A.S. Tonkoshkur, A.S. Lozovskyi Application for calculating the parameters of a gas sensor from the experimental kinetic dependence of response. System technolo-gies, 2021, 2(133): 26-32. DOI 10.34185/1562-9945-2-133-2021-04
Gracheva N.N., Rudenko N.B., Litvinov V.N. Specialized software for scientific re-search [Electronic resource]: textbook - Electron. Dan. - Zernograd: Azovo-Chernomorsky Engineering Institute FGBOU VO DGAU, 2018. - 127 p.
Lazurik V. T., Pochinok A. V. Model of computer processing and analysis of exper-imental data in the study of a plasma source of ultraviolet radiation. Bulletin of Kharkiv National University Series ≪Mathematical Modeling. Information technolo-gies. Automated control systems≫2008. No. 833. pp. 149-162.
Pykhalov A. A., Lam Z. V., Belozertseva O. P. Mathematical modeling for com-puter processing of scanning of solid deformable bodies in the construction and analysis of their finite element models // Bulletin of the Irkutsk State Technical Uni-versity. - 2018. - T. 22. - No. 3 (134). P. 93-111
Shmelev O. Ya., Korolev VF On computer processing of measurement results // Bulletin of computer and information technologies. - 2009. - no. 9. - pp. 50-53.
Tonkoshkur O.S., Povzlo E.L. An algorithm for processing data on the kinetics of a resistive gas sensor based on a model of an expanded exponential function. System technologies. Regional inter-university collection of science practices. - Vip. 1′(108) - Dnipropetrovsk, 2017.- P. 129-134.
Simdyankin S I. & Mousseau N. Relationship between dynamic heterogeneities and stretched exponential relaxation // Physical Review E.-2003. -68 (4). - P.104-110.
Trzmiel J., Weron K., Janczura J. & Placzek-Popko E. Properties of the re¬laxation time distribution underlying the Kohlrausch-Williams-Watts photoioni-zation of the DX centers in Cdl-xMnxTe mixed crystals // Journal of Physics Con-densed Matter. - 2009. 21'(34). - P.345801.
Milovanov A.V., Rasmussen J.J. & Rypdal K. Stretched-exponential decay func-tions from a self-consistent model of dielectric relaxation // Phys. Lett. A. - 2008. - 372 (13). - P. 2148-2154.
Akhnazarova S.L., Kafarov V.V. Methods of experiment optimization in chemical technology. - Moscow: Higher School, 1985. - 327 p.
Johnston D.C. Stretched exponential relaxation arising from a continuous sum of exponential decays // Physical Review B. - 2006. - 74'(18). -P.184430.
Hansen E.W., Gong X. and Chen Q. Compressed Exponential Response Function Aris: ng From a Continuous Distribution of Gaussian Decays - Distribution Chai ac-teristics // Macromolecular Chemistry and Physics. - 2013. - 214'(7). - I'. 844-852.
