MATHEMATICAL MODELING OF TECHNICAL CONDITION OF MECHANISMS

Автор(и)

  • Larissa Sushko

DOI:

https://doi.org/10.34185/1991-7848.itmm.2022.01.032

Ключові слова:

diagnostics, mechanisms, machines, pattern recognition, technical status, defects, gear transmissions

Анотація

The research is aimed at revealing the problems of modeling technical diagnostics of mechanisms and machines. To assess the technical condition of machines and the formation of diagnostic features, a method based on the application of the mathematical theory of pattern recognition is proposed. It is shown that technical diagnostics of machines and mechanisms can be interpreted as the recognition of classes of technical condition of the object by the set of its technical characteristics. At the same time, it is established to what class the current recognized state belongs. The conducted studies are covered against the background of the assessment of gear defects. Such studies have shown that in the early stages of defect development there is a process when synchronous components do not grow, and all the extra power from the defect is concentrated in asynchronous harmonics.

Посилання

Sobolev V.S. Software for modern systems for collecting and processing measurement information. Collection of scientific papers Devices and control systems. 1998. №1.

P. 55 – 63.

Pokojski J. Komputerowe wspomaganie decyzji wielokruterialnych u dynamice maszyn. Pr. nauk. Mech. Pwarsz. 1990. P. 108.

G.G. Shvachych, V.U. Hrygorenko, T.M. Kadylnykova, L.F. Sushko Computer system of comprehensive assessment of technical condition of functions of mechanics. World Science. 2019. № 9(49), Vol. 1. P. 4 – 11.

G.G. Shvachych, I.A. Pobochii, O.V. Ivaschenko, L.F. Sushko Mathematical modeling of thermophysical properties of materials using inverse methods. Bulletin of Kherson National Technical University. 2019. №2(69), P. 3. С. 210 – 215.

Sushko L.F. Mathematical modeling of the process of recognizing the technical

condition of gears. Dispatch of Kherson National Technical University. 2018. № 3(66),

P. 2. P. 306 – 310.

Опубліковано

2022-05-18

Номер

Розділ

Статті