Using Signal Phase in Computerized Systems of Non-destructive Testing

Authors

  • Zhong Mei School of electronics & information Engineering ( School of big data science), Taizhou university, Taizhou 318000, China, zhongmei160620@gmail.com
  • Yurii Kuts Igor Sikorsky Kyiv Polytechnic Institute, Kyiv, Ukraine https://orcid.org/0000-0002-8493-9474
  • Orest Kochan School of Computer Science, Hubei University of Technology, Wuhan 430068, China; Lviv Polytechnic National University, Lviv, Ukraine https://orcid.org/0000-0002-3164-3821
  • Iuliia Lysenko Igor Sikorsky Kyiv Polytechnic Institute, Kyiv, Ukraine
  • Oleksandr Levchenko Igor Sikorsky Kyiv Polytechnic Institute, Kyiv, Ukraine
  • Halyna Vlakh-Vyhrynovska Lviv Polytechnic National University, Lviv, Ukraine

DOI:

https://doi.org/10.2478/msr-2022-0004

Keywords:

signal processing, phase measurement, discrete Hilbert transform, circular statistics

Abstract

Phase methods of measuring physical quantities and phase measuring equipment are widely used in various fields of science and
technology. The article proposes a signal processing methodology based on a combination of the discrete Hilbert transform (DHT) and deterministic, as well as statistical methods of phase measurement. This methodology makes it possible to more fully use the information resource of the measuring signal phase in a wide range of the signal-to-noise ratio. It can be used both in computerized measurement and testing systems, as well as in the processing of measurement data. The benefits of the DHT are considered. The possibility of using statistics of directional data for phase measurements is shown. Circular statistics, such as the mean ring value, circular variance and the resulting vector length, were proposed for use in the phase measurements. Some examples of the use of this methodology in measurements and non-destructive testing are given.

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Published

21.01.2022

How to Cite

Mei, Z., Kuts, Y., Kochan, O., Lysenko, I., Levchenko, O., & Vlakh-Vyhrynovska, H. (2022). Using Signal Phase in Computerized Systems of Non-destructive Testing. Measurement Science Review, 22(1), 32–43. https://doi.org/10.2478/msr-2022-0004

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