The deep testing aircraft by the methods of the mathematical statistics for increasing of their correspondence to the standards of the 1С АО

Аuthors

Dvornichenko V. V., Burova A. Y.^*

Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia

*e-mail: frambe@mail.ru

Abstract

This article explores issue in-deep depth testing of aviation TURBOJET gas parameters to improve the quality and reliability, and airworthiness of the different types of aviation aero-engines, after their ground and flight-laboratory tests on factory hot stands in a serial production of these engines manufacturer of these products on the American example TURBOJETS J-75-P17, widely applicable to United States military aviation. In aviation practice have been analyzed the high representative statistical samples of measuring working standard parameters with the gas dynamic issue: for two-dimensions installed task, so as: Pr probability as the function of speed of rotation HPC n2; Pr= f(n2) and probability of viewing of the different intervals of the statistic samples of n2 of this parameter-control factor in FADEC/EEC of a aero-engines types, represented by a small parts of unity. Its realizing the normal law of distribution (Gauss-Laplace) of parameter control factor: or n2, or n1, or EPR. It is saving in flight about 3538% of the hours fuel mass consumption or are obtaining the gifts as the maximal flight route distance of the chosen aircraft type for the Long-Range Aircrafts, when the flights are going on for very long distance routes.

Keywords:

representative statistic samples, normal law of distribution, statistic function of two variables, middle squared error of samples of variables, mathematics middle meaning of sample.