Skip to main content
Log in

Analysis of the Condition of a Gas Turbine System. 2. Anomalies in the Degradation Process

  • Published:
Russian Engineering Research Aims and scope

Abstract

The decline in the condition of a gas turbine system for transporting natural gas is investigated. The degradation coefficient is obtained by analysis of data from the system’s measuring equipment. It is important to determine the condition of equipment on the basis of its operational parameters, since that would abbreviate thermal testing and permit maintenance and repair of the equipment on the basis of its condition rather than on a fixed schedule. Besides assessing the condition of the equipment, the proposed algorithm permits the identification of anomalies in the initial and final data. Expert analysis reveals anomalous zones in the downward trend of the gas turbine system’s condition over time.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.

REFERENCES

  1. Krivosheev, I.A., Rozhkov, K.E., and Simonov, N.B., Application of the parametric diagnostic method using complex indicators to assess the state of the gas turbine drive in the gas pumping unit, Vestn. Permsk. Nats. Issled. Politekh. Univ., Aerokosm. Tekh., 2017, no. 3 (50), pp. 46–57.

  2. Paranuk, A.A., Bunyakin, A.V., Rumyantsev, S.V., et al., Calculation of diagnostic parameters for assessing the technical condition of sliding bearings of gas turbine engines based on the results of vibration measurements, Sovr. Naukoem. Tekhnol., 2021, no. 6-2, pp. 270–276. https://doi.org/10.17513/snt.38733

  3. Korshikova, A.A. and Trofimov, A.G., Program-analytical module of predictive analytics, Mat. Metody Tekh. Tekhnol., 2019, vol. 10, pp. 122–126.

    Google Scholar 

  4. Blinov, V.L. and Deryabin, G.A., Analysis of archived parameters of gas turbine unit operation at the stage of creation of technical condition prediction algorithm, Sbornik nauchnykh trudov “IX Informatsionnaya shkola molodogo uchenogo,” Ekaterinburg, 20–23 sentyabrya 2021 g. (Coll. Sci. Works “IX Information School of the Young Scientist,” Yekaterinburg, September 20–23, 2021), Yekaterinburg, 2021, pp. 377–389.

  5. Blinov, V.L., Komarov, O.V., and Zaslavskiy, E.A., Estimation of the driven gas turbine unit technical performance using the standard measuring systems, E3S Web Conf., 2020, vol. 178, p. 01044. https://doi.org/10.1051/e3sconf/202017801044

  6. Blinov, V.L. and Deryabin, G.A., RF Certificate of State Registration of Computer Programs no. 2021666150.

  7. Blinov, V.L. and Deryabin, G.A., RF Certificate of State Registration of Computer Programs no. 2021666558.

  8. Standart Organizatsii STO Gazprom (Standard of the STO Gazprom Organization) 2-3.5-113–2007: Methodology for Evaluating the Energy Efficiency of Gas Transmission Facilities and System, Moscow: VNIIGAZ, 2007.

  9. GOST (State Standard) R 52782–2007: Gas Turbines. Test Methods. Acceptance Tests, 2008.

  10. Zaritskii, S.P., Diagnostika gazoperekachivayushchikh agregatov s gazoturbinnym privodom (Diagnostics of Gas Compressor Units with Gas Turbine Drive), Moscow: Nedra, 1987.

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to V. L. Blinov or G. A. Deryabin.

Ethics declarations

The authors declare that they have no conflicts of interest.

Additional information

Translated by B. Gilbert

Part 1 may be found in Russian Engineering Research, No. 6, 2023.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Blinov, V.L., Deryabin, G.A. Analysis of the Condition of a Gas Turbine System. 2. Anomalies in the Degradation Process. Russ. Engin. Res. 43, 942–947 (2023). https://doi.org/10.3103/S1068798X2308004X

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S1068798X2308004X

Keywords:

Navigation