Check and prediction of gas-turbine engine’s technical state

Abstract

The problem of check and prediction of a gas-turbine engine’s technical state is presented in verbal and mathematical statements in the paper. The mathematical statement of the problem is presented as a ternary system. This system consists of three components: initial data for solving the problem; a set of conditions and restrictions to be accomplished in the process of solving the problem; the required result to be obtained by solving the problem. The initial data for solving the problem consist of a set of propulsion unit parameters and environment parameters registered at different time moments as well as sets of expert reports on the technical state of gas-turbine engines. Among the limitations imposed when solving the problem we can name a fixed list of the registered parameters of the power plant as well as the absence of the possibility of purposefully extending the base of empirical data. The required result to be obtained by solving the problem includes: a model for determining check, diagnostic and prognostic parameters; the function of calculating the criteria of the technical state; the function of extrapolating the above-mentioned criteria; a set of control, diagnostic and prognostic criteria. Each component is described in the paper using the semantics of sets and multisets.

About the authors

N. A. Zotin

Samara State Aerospace University

Author for correspondence.
Email: NikitaEAT@yandex.ru

Postgraduate student, Aircraft Maintenance Department

Russian Federation

References

  1. Eliseev U.S., Krimov V.V., Malinowskiy K.A., Popov V.G. Tekhnologiya ekspluatatsii, diagnostiki i remonta gazoturbinnykh dvigateley [Maintenance, diagnostics and repair of gas-turbine engines]. Moscow: Vysshaya shkola Publ., 2002. 355 p.
  2. Keba I.V. Diagnostika aviacionnykh gazoturbinnykh dvigateley [Diagnostics of aviation gas-turbine engines. Moscow: Transport Publ., 1980. 248 p.
  3. Kiselev U.V., Epishev N.I. Diagnostika gazoturbinnykh dvigateley i ikh uzlov po termogazodinamicheskim i vibroakkusticheskim parametram [Diagnostics of gas-turbine engines and their units on the basis of their thermogasdynamic and vibroacoustic parameters]. Samara: Samara State Aerospace University Pub., 2007. 188 p.
  4. Boguslayev A.V., Dubrovin V.I., Subbotin S.A. Methods of non-iterative synthesis of multilayer neural networks in tasks of aviation engine diagnostics // Vestnik dvigatelestroeniya. 2004. No. 1. P. 86-93. (In Ukr.)
  5. Vasiliev V.I., Zhernakov S.V. Identification of aviation engine parameters on the basis of neural networks // Testing. Diagnostics. 2009. No. 2. P. 54-61. (In Russ.)
  6. Zhernakov S.V. Diagnostics of aviation engine parameters on the basis of neural networks // Aerospace instrument-making. 2003. No. 12. P. 50-60. (In Russ.)
  7. Kulagin V.V. Teoriya, raschеt i proectirovanie aviacionnykh dvigateley i energeticheskykh ustanovok [Theory, calculation and design of aviation engines and power plants]. Moscow: Mechanical Publ., 2003. 327 p.

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