The Information Technology of Automated Data Processing in the Multi-Channel Ultrasonic Measurement Systems

Authors

  • Олександр Сергійович Меняйленко Taras Shevchenko National University of Luhansk, Ukraine
  • Олег Игоревич Захожай Donbas State Technical University, Ukraine

DOI:

https://doi.org/10.20535/1810-0546.2014.6.58425

Keywords:

Ultrasonic measurement systems, Improving accuracy and expansion bands of ultrasonic measurement, Multichannel measurement systems

Abstract

The article is devoted to the application of information technology for the ultrasonic measurement of linear distances. The most attention is done on improving the accuracy and expansion bands of measurement. For that problem’s solving, using of the multi-channel ultrasonic measuring system that consists a plurality of sensors with various measuring characteristics is proposed. To ensure constantly high measurement accuracy in a wide range, a new information technology of automated data processing in multi-channel ultrasonic measurement systems, which are based on a multi-threaded data received from a plurality of sensors and determine the most reliable measurement result, have been proposed.

Author Biographies

Олександр Сергійович Меняйленко, Taras Shevchenko National University of Luhansk

Menyaylenko Alexander S., doctor of engineering, full professor, vice-rector for scientific and pedagogical work

Олег Игоревич Захожай, Donbas State Technical University

Zakhozhay Oleg I., candidate of sciences (engineering), associate professor

References

Жданкин В.К. Ультразвуковые датчики для систем управления // Современные технологии автоматизации. – 2003. – № 1. – С. 68–79.

Жданкин В.К. Приборы для измерения уровня // Современные технологии автоматизации. – 2003. – № 7. – С. 97–100.

Аш Ж. Датчики измерительных систем. – М.: Мир, 1992. – Кн. 1. – 480 с.

F. Cauty and Ch. Erades, “Ultrasound measurement methods: errors, noise, and sensitivity”, J. оn Combustion, Explosion and Shock Waves, vol. 36, no. 1, pp. 54–61, 2008.

P.R. Hoskins et al., Diagnostic ul-trasound. Cambridge: Cambridge University Press, 2010, 260 p.

Рябенький В.М., Захожай О.І. Комбіновані системи розпізнавання образів // Проблеми інформаційних технологій. – 2011. – № 1 (9). – С. 156–160.

Захожай О.І. Інформаційна технологія розпізнавання образів в задачах автоматизованої обробки інформації й управління складними системами // Проблеми інформаційних технологійе. – 2013. – № 1 (13). – С. 61–68.

Захожай О.І. Селекція раціональної сукупності образів в комбінованих системах розпізнавання // Електротехнічні та комп’ютерні системи. – 2013. – № 9 (85). – С. 186–192.

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Published

2014-12-26

Issue

No. 6 (2014): Engineering

Section

Art

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