
Physical and mathematic N-option modeling and optimization of dynamically loaded nonlinear technical systems
Author(s) -
И. В. Колесников,
В. В. Шаповалов,
A. L. Ozyabkin,
П. В. Харламов,
M. A. Burakova,
R. A. Kornienko
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1029/1/012033
Subject(s) - nonlinear system , computer science , state (computer science) , industrial engineering , mathematical model , system optimization , systems engineering , control engineering , management science , mathematical optimization , engineering , mathematics , algorithm , statistics , physics , quantum mechanics
The development of modern industries significantly depends on the effective usage of innovative research methods and optimization of technological processes. Modeling methods are one of the science-intensive methods put into practice in research and diagnostics of both the current state of mechanical systems and predicting changes in the state of technological equipment during operation. The authors have developed and successfully adapted fundamental theoretical foundations of physical and mathematical modeling for solving problems of optimization and simulation of dynamically loaded nonlinear technical systems. A method for diagnosing tribo-couplings of helicopter tail drive couplings is proposed.