Implementation of the Spectral Method for Determining of Measuring Instruments' Dynamic Characteristics
https://doi.org/10.21122/2220-9506-2020-11-2-155-162
Abstract
The spectral method for establishing dynamic response of measuring instruments basically requires determining the amplitude spectrum of the signal in its informative part that includes the amplitude spectrum at zero frequency. The operating frequency range of existing low-frequency spectrum analyzers is above zero frequency that leads to an uncertainty in dynamic response of measuring instruments determined by the spectral method. The purpose of this paper is to develop a program for calculating the signal amplitude spectrum, starting from zero frequency, to implement a spectral method for determining the dynamic response of measuring instruments on computers equipped with the MatLab package.
To implement the spectral method for determining the dynamic response of measuring instruments, we developed a program in the MatLab 2013b environment that determines the signal amplitude spectrum from zero Hertz. The program reads the source data from Excel tables and presents the calculated amplitude spectrum as a chart and a report table.
It is shown that the developed program calculates the signal amplitude spectrum with a standard deviation of not more than 3.4 % in the frequency range of 0 to 10 rad/s. The calculated amplitude spectrum allows determining the time constant of first-order aperiodic measuring instruments with an uncertainty of not more than 0.166 % at any noise level, if their frequencies are outside the information part of the spectrum.
We demonstrated the claimed advantage of the spectral method for determining dynamic response using the developed program by the example of a high-frequency noise in the transient response of some measuring instruments.
About the Authors
A. F. Sabitov
A.N. Tupolev Kazan National Research Technical University
Russian Federation
Russian Federation
Address for correspondence: A.F. Sabitov – A.N. Tupolev Kazan National Research Technical University, K. Marx str., 10, Kazan 420111, Tatarstan, Russia e-mail: alfir-sabitov@yandex.ru
I. A. Safina
A.N. Tupolev Kazan National Research Technical University
Russian Federation
K. Marx str., 10, Kazan 420111, Tatarstan
Russian Federation
K. Marx str., 10, Kazan 420111, Tatarstan
References
1. Bekenova Y.A., Komshilova V.A., Komshilova K.O. [Dynamic characteristics of measurements systems based on industrial automation systems]. Izvestiya Sankt-Peterburgskogo gosudarstvennogo elektrotekhnicheskogo universiteta "LETI", 2013, no. 1. pp. 81–86 (in Russian).
2. Dubovitskii V.F., Sebina L.P, Godunov M.V., Maksimova E.M. Use of a data measurement system for studying the characteristics of temperature sensors. Fibre Chemistry, 2011, vol. 42, no. 6, pp. 399–403. DOI: 10.1007/s10692-011-9297-0
3. Iosifov V.P. [Determination of the full dynamic characteristics of measuring instruments with the use of recurrent procedures]. Izvestiya vysshikh uchebnykh zavdenij. Povolzhskij region. Tekhnicheskije nauki [Proceedings of the higher educational institutions. Volga region. Technical science], 2011, no. 1 (17), pp. 126–131 (in Russian).
4. Marshalov E.D., Nikonorov A.N., Murav'ev I.K. [Determination of thermal reaction time of thermal resistance converters]. Vestnik Ivanovskogo gosudarstvennogo energeticheskogo universiteta [Bulletin of Ivanovo state power engineering University], 2017, no. 3, pp. 54–59 (in Russian).
5. Vavirovskaja S.L., Zaharov D.L., Korneev M.V. [Automation determination of dynamic and high-speed characteristics of temperature sensors in the installation of air УВ-010 CIAM]. Avtomatizacia v promyshlennosti [Automation industry], 2016, vol. 4, pp. 28–29 (in Russian).
6. Froehlich T., Froehlich T., Augustin S., Ament C. Temperature-Dependent Dynamic Behavior of Process Temperature Sensors. International Journal of Thermophysics, 2015, vol. 36, no. 8, pp. 2115–2123. DOI: 10.1007/s10765-015-1869-4
7. Jamroz P. Relationship between dynamic coefficients of two temperature sensors under non stationary flow conditions. IEEE Sens. J, 2011, vol. 11, no. 1–2, pp. 335–340. DOI: 10.1109/JSEN.2010.2073463
8. Zimmerschied R., Isermann R. Nonlinear time constant estimation and dynamic compensation of temperature sensors. Contr. Eng. Pract., 2010, vol. 18, no. 3, pp. 300–310. DOI: 10.1016/j.conengrac.2009.11.008
9. Safina I.A., Sabitov A.F., Garkushenko V.I. [Identification of nominal dynamic characteristics gas temperature sensors of aircraft]. Aviakosmicheskoe priborostroenie [Aerospace instrument-making], 2017, no. 3, pp. 3–11 (in Russian).
10. Sabitov A.F., Safina I.A. [[Identification of nominal dynamic characteristics gas temperature sensors]. Pribory i metody izmerenii [Devices and Methods of Measurements], 2016, vol. 7, no. 2, pp. 211– 218 (in Russian). DOI: 10.21122/2220-9506-2016-7-2-211-218
Review
For citations:
Sabitov A.F., Safina I.A. Implementation of the Spectral Method for Determining of Measuring Instruments' Dynamic Characteristics. Devices and Methods of Measurements. 2020;11(2):155-162. (In Russ.) https://doi.org/10.21122/2220-9506-2020-11-2-155-162
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