{"id":1385,"date":"2021-01-15T23:35:09","date_gmt":"2021-01-15T21:35:09","guid":{"rendered":"http:\/\/journals.khnu.km.ua\/vestnik\/?p=1385"},"modified":"2021-03-04T13:33:28","modified_gmt":"2021-03-04T11:33:28","slug":"%d0%bc%d0%b5%d1%82%d0%be%d0%b4-%d0%b7%d0%bc%d0%b5%d0%bd%d1%88%d0%b5%d0%bd%d0%bd%d1%8f-%d1%82%d1%80%d1%83%d0%b4%d0%be%d0%bc%d1%96%d1%81%d1%82%d0%ba%d0%be%d1%81%d1%82%d1%96-%d0%bf%d0%b5%d1%80%d0%b5","status":"publish","type":"post","link":"https:\/\/journals.khnu.km.ua\/vestnik\/?p=1385","title":{"rendered":"\u041c\u0435\u0442\u043e\u0434 \u0437\u043c\u0435\u043d\u0448\u0435\u043d\u043d\u044f \u0442\u0440\u0443\u0434\u043e\u043c\u0456\u0441\u0442\u043a\u043e\u0441\u0442\u0456 \u043f\u0435\u0440\u0435\u0445\u043e\u0434\u0443 \u0434\u043e \u0456\u043d\u0434\u0438\u0432\u0456\u0434\u0443\u0430\u043b\u044c\u043d\u043e\u0457 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0432\u0438\u043c\u0456\u0440\u044e\u0432\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u043a\u0430\u043d\u0430\u043b\u0443 \u0437 \u043d\u0435\u043b\u0456\u043d\u0456\u0439\u043d\u0438\u043c\u0438 \u0431\u043b\u043e\u043a\u0430\u043c\u0438"},"content":{"rendered":"

\u041c\u0415\u0422\u041e\u0414 \u0417\u041c\u0415\u041d\u0428\u0415\u041d\u041d\u042f \u0422\u0420\u0423\u0414\u041e\u041c\u0406\u0421\u0422\u041a\u041e\u0421\u0422\u0406 \u041f\u0415\u0420\u0415\u0425\u041e\u0414\u0423 \u0414\u041e \u0406\u041d\u0414\u0418\u0412\u0406\u0414\u0423\u0410\u041b\u042c\u041d\u041e\u0407 \u0424\u0423\u041d\u041a\u0426\u0406\u0407 \u041f\u0415\u0420\u0415\u0422\u0412\u041e\u0420\u0415\u041d\u041d\u042f \u0412\u0418\u041c\u0406\u0420\u042e\u0412\u0410\u041b\u042c\u041d\u041e\u0413\u041e \u041a\u0410\u041d\u0410\u041b\u0423
\n\u0417 \u041d\u0415\u041b\u0406\u041d\u0406\u0419\u041d\u0418\u041c\u0418 \u0411\u041b\u041e\u041a\u0410\u041c\u0418<\/p>\n

THE METHOD OF REDUCING THE LABOR OF THE TRANSITION TO THE INDIVIDUAL FUNCTION OF CONVERSION OF THE MEASURING CHANNEL WITH NONLINEAR BLOCKS<\/p>\n

<\/a> \u0421\u0442\u043e\u0440\u0456\u043d\u043a\u0438: 92-98. \u041d\u043e\u043c\u0435\u0440: \u21163, 2020 (285)<\/strong>
\n\u0410\u0432\u0442\u043e\u0440\u0438:<\/strong>
\n\u0412.\u0412. \u041a\u043e\u0447\u0430\u043d
\n\u041d\u0430\u0443\u043a\u043e\u0432\u043e-\u0434\u043e\u0441\u043b\u0456\u0434\u043d\u0438\u0439 \u0456\u043d\u0441\u0442\u0438\u0442\u0443\u0442 \u0406\u043d\u0442\u0435\u043b\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u0438\u0445 \u043a\u043e\u043c\u043f’\u044e\u0442\u0435\u0440\u043d\u0438\u0445 \u0441\u0438\u0441\u0442\u0435\u043c
\n\u0417\u0430\u0445\u0456\u0434\u043d\u043e\u0443\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u043e\u0433\u043e \u043d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0443
\nV. KOCHAN
\nResearch Institute of Intelligent Computer Systems
\nWestern Ukrainian National University
\nDOI:<\/strong> https:\/\/www.doi.org\/10.31891\/2307-5732-2020-285-3-15<\/a>
\n\u0420\u0435\u0446\u0435\u043d\u0437\u0456\u044f\/Peer review :<\/strong> 07.04.2020 \u0440.
\n\u041d\u0430\u0434\u0440\u0443\u043a\u043e\u0432\u0430\u043d\u0430\/Printed :<\/strong> 04.06.2020 \u0440.<\/p>\n

\u0410\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u043c\u043e\u0432\u043e\u044e \u043e\u0440\u0438\u0433\u0456\u043d\u0430\u043b\u0443<\/strong><\/p>\n

\u0423 \u0441\u0442\u0430\u0442\u0442\u0456 \u0437\u0430\u043f\u0440\u043e\u043f\u043e\u043d\u043e\u0432\u0430\u043d\u043e \u043c\u0435\u0442\u043e\u0434 \u043f\u0435\u0440\u0435\u0445\u043e\u0434\u0443 \u0434\u043e \u0456\u043d\u0434\u0438\u0432\u0456\u0434\u0443\u0430\u043b\u044c\u043d\u043e\u0457 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0432\u0438\u043c\u0456\u0440\u044e\u0432\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u043a\u0430\u043d\u0430\u043b\u0443 \u0437 \u0434\u0435\u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u043d\u0435\u043b\u0456\u043d\u0456\u0439\u043d\u0438\u043c\u0438 \u0431\u043b\u043e\u043a\u0430\u043c\u0438, \u044f\u043a\u0438\u0439 \u043c\u0430\u0454 \u0441\u0443\u0442\u0442\u0454\u0432\u043e \u043d\u0438\u0436\u0447\u0443 \u0442\u0440\u0443\u0434\u043e\u043c\u0456\u0441\u0442\u043a\u0456\u0441\u0442\u044c \u043f\u043e\u0440\u0456\u0432\u043d\u044f\u043d\u043e \u0456\u0437 \u0442\u0440\u0430\u0434\u0438\u0446\u0456\u0439\u043d\u0438\u043c \u043f\u0456\u0434\u0445\u043e\u0434\u043e\u043c. \u041f\u0440\u043e\u043f\u043e\u043d\u043e\u0432\u0430\u043d\u0438\u0439 \u043c\u0435\u0442\u043e\u0434 \u043f\u043e\u0434\u0430\u043d\u043e \u043d\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u044e\u0432\u0430\u0447\u0430 \u0442\u0435\u043c\u043f\u0435\u0440\u0430\u0442\u0443\u0440\u0430-\u0447\u0430\u0441\u0442\u043e\u0442\u0430 \u043d\u0430 \u0431\u0430\u0437\u0456 \u0442\u0435\u0440\u043c\u0456\u0441\u0442\u043e\u0440\u0430 \u0442\u0430 \u043c\u0443\u043b\u044c\u0442\u0438\u0432\u0456\u0431\u0440\u0430\u0442\u043e\u0440\u0430 \u043d\u0430 \u0431\u0430\u0437\u0456 \u043e\u043f\u0435\u0440\u0430\u0446\u0456\u0439\u043d\u043e\u0433\u043e \u043f\u0456\u0434\u0441\u0438\u043b\u044e\u0432\u0430\u0447\u0430 \u0456 \u043c\u043e\u0441\u0442\u043e\u0432\u043e\u0433\u043e \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u044e\u0432\u0430\u0447\u0430. \u041f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u0439 \u0430\u043d\u0430\u043b\u0456\u0437 \u043f\u043e\u0445\u0438\u0431\u043e\u043a \u0432\u0438\u043c\u0456\u0440\u044e\u0432\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u043a\u0430\u043d\u0430\u043b\u0443 \u043f\u043e\u043a\u0430\u0437\u0430\u0432, \u0449\u043e \u0432\u043e\u043d\u0438 \u043d\u0435 \u043f\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u044e\u0442\u044c \u00b11\u00b0\u0421 \u0443 \u0434\u0456\u0430\u043f\u0430\u0437\u043e\u043d\u0456 \u0432\u0438\u043c\u0456\u0440\u044e\u0432\u0430\u043d\u043d\u044f \u0432\u0456\u0434 \u043c\u0456\u043d\u0443\u0441 20\u00b0\u0421 \u0434\u043e +100\u00b0\u0421 \u043f\u0440\u0438 \u0447\u0443\u0442\u043b\u0438\u0432\u043e\u0441\u0442\u0456 0,003\u00b0\u0421.
\n\u041a\u043b\u044e\u0447\u043e\u0432\u0456 \u0441\u043b\u043e\u0432\u0430:<\/strong> \u0432\u0438\u043c\u0456\u0440\u044e\u0432\u0430\u043d\u043d\u044f \u0442\u0435\u043c\u043f\u0435\u0440\u0430\u0442\u0443\u0440\u0438, \u0442\u0435\u0440\u043c\u0456\u0441\u0442\u043e\u0440, \u043f\u043e\u0445\u0438\u0431\u043a\u0430 \u0432\u0438\u043c\u0456\u0440\u044e\u0432\u0430\u043d\u043d\u044f, \u0444\u0443\u043d\u043a\u0446\u0456\u044f \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f, \u043a\u0430\u043b\u0456\u0431\u0440\u0443\u0432\u0430\u043d\u043d\u044f, \u043d\u0435\u043b\u0456\u043d\u0456\u0439\u043d\u0456 \u0431\u043b\u043e\u043a\u0438.<\/p>\n

\u0420\u043e\u0437\u0448\u0438\u0440\u0435\u043d\u0430 \u0430\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u0430\u043d\u0433\u043b\u0456\u0439\u0441\u044c\u043a\u043e\u044e \u043c\u043e\u0432\u043e\u044e<\/strong><\/p>\n

In scientific research and in the praxis of the engineer often appear spontaneous problems of temperature measurements. However, as a rule of thumb, cheap sensors and simple measuring circuits have large errors and nonlinear conversion characteristics. Therefore, the task of determining an individual conversion characteristic of such Ad-hoc measurement systems is complex and time consuming. In the range from – (20\u2026 0) \u00ba\u0421 to + (100 (120))\u0421, it is reasonable to use the thermistor as a temperature sensor due to its low price, high sensitivity and wide range of nominal resistance. However, the thermistor are characterized by a large variation of its parameters. The permissible deviation of the resistance from the nominal one at 20\u00baC can reach \u00b1 20%, and the permissible deviation of the temperature coefficient from the nominal one can reach \u00b1 5%. It is reasonable to determine the individual thermistor conversion function in two reference fixed points. The first point is the melting point of ice. As the second point for calibrating the thermistor, it is reasonable to use the axillary temperature of a healthy person. In the vast majority of cases, this temperature is 36.6\u00b0C. The method for a significant simplification of obtaining the individual conversion characteristic for a measuring system with nonlinear blocks is considered in this article. For this purpose, there is developed a technique of considerably lower complexity. The proposed method is illustrated on the case study of the temperature-to-frequency converter. The temperature-to-frequency converter is based on the thermistor as a temperature sensor and the multivibrator. The latter is based on the operational amplifier and the bridge circuit. The error analysis carried out for the whole measuring system revealed that the total measurement error does not exceed \u00b1 1 \u00b0 C within the measurement range from \u201320 \u00b0 C to + 120 \u00b0 C with the sensitivity of 0.003 \u00b0 C. The total error of measurements can be further reduced in approximately 2-4 times when using the mercury thermometer with the error of \u00b1 0.1 \u00b0 C to determine individual conversion characteristic of the considered measuring system .. The proposed solution combines knowledge from the many fields of knowledge such as electronics, instrumentation, and metrology. Thus, the proposed solution can be used as a base for student training.
\nKey words:<\/strong> temperature change, thermistor, change of temperature, changeover function, calibration, non-linear blocks.<\/p>\n

References<\/strong><\/p>\n

    \n
  1. Webster J. G. (Ed.). The Measurement, Instrumentation, and Sensors: Handbook. CRC Press. 1999.<\/li>\n
  2. Beshley H., Beshley M., Maksymyuk T., & Strykhalyuk I. Method of Centralized Resource Allocation in Virtualized Small Cells Network with IoT Overlay. In Proceedings of the 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET), Lviv-Slavske, Ukraine. 2018. P. 1147-1151.<\/li>\n
  3. Przystupa K., Vasylkivskyi I., Ishchenko V., Pohrebennyk V., & Kochan O. Assessment of Electromagnetic Pollution in Towns. In Proceedings of the 2019 IEEE International Conference on Applications of Electromagnetics in Modern Engineering and Medicine (PTZE). June 2019. P. 143-146.<\/li>\n
  4. Ferrero A., Scotti V. Forensic Metrology: A New Application Field for Measurement Experts Across Techniques and Ethics. IEEE Instrumentation & Measurement Magazine. 2013. Vol. 16. Issue 1. P. 14-17.<\/li>\n
  5. Bychkovskiy R.V., Kontaktnyye datchiki temperatury. \u2013 M .: Metallurgiya, 1978. \u2013 238 s.<\/li>\n
  6. Kester W. A. Data Conversion Handbook. Newnes. 2005.<\/li>\n
  7. Jun, S., & Kochan, O. Common Mode Noise Rejection in Measuring Channels. Instruments and Experimental Techniques. 2015. Vol. 58. Issue 1. P. 86-89.<\/li>\n
  8. Wang J., Kochan O., Przystupa K., & Su J. Information-measuring System to Study the Thermocouple with Controlled Temperature Field. Measurement Science Review. 2019. Vol. 19. Issue 4. P. 161-169.<\/li>\n
  9. Jun S., Kochan O., & Kochan R. Thermocouples with Built-in Self Testing. International Journal of Thermophysics. 2016. Vol. 37. Issue 4. P. 37.<\/li>\n
  10. Jun S., Kochan O., Chunzhi W., & Kochan R. Theoretical and Experimental Research of Error of Method of Thermocouple with Controlled Profile of Temperature Field. Measurement Science Review. 2015. Vol. 15. Issue 6. P. 304-312.<\/li>\n
  11. Yeromenko V., Kochan O. The Conditional Least Squares Method for Thermocouples Error Modeling. In Proceedings of the 2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems. Berlin, Germany. 2013. Vol. 1. P. 157-162.<\/li>\n
  12. Birch J. Benefit of Legal Metrology for the Economy and Society. A study for the International Committee of Legal Metrology. 2003. [Online]. Available at: https:\/\/www.oiml.org\/en\/files\/pdf_e\/e002-e03.pdf.<\/li>\n
  13. Kukhling H. Spravochnik po fizike \/ H. Kukhling; per. s nem. \u2013 M .: Mir, 1982. \u2013 520 s.<\/li>\n
  14. Rogelberg I.L. Splavy dlya termopar \/ I.L. Rogelberg, V.M. Beylin. \u2013 M. Metallurgiya, 1983. \u2013 360 s.<\/li>\n
  15. Kr\u00f6se B., van der Smagt P. An Introduction to Neural Networks. Amsterdam: University of Amsterdam. 1993.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    \u041c\u0415\u0422\u041e\u0414 \u0417\u041c\u0415\u041d\u0428\u0415\u041d\u041d\u042f \u0422\u0420\u0423\u0414\u041e\u041c\u0406\u0421\u0422\u041a\u041e\u0421\u0422\u0406 \u041f\u0415\u0420\u0415\u0425\u041e\u0414\u0423 \u0414\u041e \u0406\u041d\u0414\u0418\u0412\u0406\u0414\u0423\u0410\u041b\u042c\u041d\u041e\u0407 \u0424\u0423\u041d\u041a\u0426\u0406\u0407 \u041f\u0415\u0420\u0415\u0422\u0412\u041e\u0420\u0415\u041d\u041d\u042f \u0412\u0418\u041c\u0406\u0420\u042e\u0412\u0410\u041b\u042c\u041d\u041e\u0413\u041e \u041a\u0410\u041d\u0410\u041b\u0423 \u0417 \u041d\u0415\u041b\u0406\u041d\u0406\u0419\u041d\u0418\u041c\u0418 \u0411\u041b\u041e\u041a\u0410\u041c\u0418 THE METHOD OF REDUCING THE LABOR OF THE TRANSITION TO THE INDIVIDUAL FUNCTION OF CONVERSION OF THE MEASURING CHANNEL WITH NONLINEAR BLOCKS \u0421\u0442\u043e\u0440\u0456\u043d\u043a\u0438: 92-98. \u041d\u043e\u043c\u0435\u0440: \u21163, 2020 (285) \u0410\u0432\u0442\u043e\u0440\u0438: \u0412.\u0412. \u041a\u043e\u0447\u0430\u043d \u041d\u0430\u0443\u043a\u043e\u0432\u043e-\u0434\u043e\u0441\u043b\u0456\u0434\u043d\u0438\u0439 \u0456\u043d\u0441\u0442\u0438\u0442\u0443\u0442 \u0406\u043d\u0442\u0435\u043b\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u0438\u0445 \u043a\u043e\u043c\u043f’\u044e\u0442\u0435\u0440\u043d\u0438\u0445 \u0441\u0438\u0441\u0442\u0435\u043c \u0417\u0430\u0445\u0456\u0434\u043d\u043e\u0443\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u043e\u0433\u043e \u043d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0443 V. KOCHAN Research […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[16],"tags":[],"_links":{"self":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/1385"}],"collection":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1385"}],"version-history":[{"count":3,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/1385\/revisions"}],"predecessor-version":[{"id":4112,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/1385\/revisions\/4112"}],"wp:attachment":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1385"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1385"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1385"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}