The experimental evaluation of the statistical characteristics of the compressor front support vibration of the gas compressor units

Authors

  • Лідія Ігорівна Фешанич Ivano-Frankivsk National Technical University of Oil and Gas, Karpatska St., 15, Ivano-Frankivsk, Ukraine, 76019, Ukraine https://orcid.org/0000-0002-5156-2199

DOI:

https://doi.org/10.15587/2312-8372.2014.32103

Keywords:

surge, vibration, statistical characteristics, distribution density, distribution law, distribution function

Abstract

The use of statistical methods for the analysis of parameters is discussed in this article and an example of the results in our research is given. The main aim is to analyze the statistical characteristics of the signal, based on experimental data obtained at gas compressor unit №9 of booster compressor station of underground gas storage "Bilche-Volytsya." An example of research of one informative parameter characterizing the operating mode of the compressor – the vibration displacement of front support compressor is given in the article. It is determined such signal characteristics as expectance, dispersion, histogram, empirical and theoretical density, distribution law, empirical and theoretical distribution function and other. This made it possible to prove the feasibility of lognormal distribution law using for this parameter and use it to solve problems of surge and anti-surge regulation protection.

Author Biography

Лідія Ігорівна Фешанич, Ivano-Frankivsk National Technical University of Oil and Gas, Karpatska St., 15, Ivano-Frankivsk, Ukraine, 76019

Postgraduate

Department of automation of technological processes and environmental monitoring

References

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Published

2014-12-23

How to Cite

Фешанич, Л. І. (2014). The experimental evaluation of the statistical characteristics of the compressor front support vibration of the gas compressor units. Technology Audit and Production Reserves, 6(4(20), 31–33. https://doi.org/10.15587/2312-8372.2014.32103

Issue

Section

Information technology and control systems