scholarly journals REDUCTION OF RISK DUE TO THE DESTRUCTION OF INDIVIDUAL AND UNIQUE TECHNICAL DEVICES

2020 ◽  
Vol 1 (14) ◽  
pp. 147-156
Author(s):  
Anatoliy Cherepanov

The article notes that reducing the risk due to destruction is possible by an a priori assessment of the maximum technical condition and the degree of degradation of the material of the technical device. The idea is to use a priori information about the technical condition and degradation processes that cause a decrease in strength and a decrease in resource. The application of numerical indicators of corrosion, corrosion resistance of materials, the degree of wear and reserve strength, defects, the risk of destruction and the effectiveness of technical diagnostics at any stage of the life cycle of a technical device is shown. The justification of the model of transition to the limit state is given. Numerical indicators of corrosion, corrosion resistance of materials, the degree of wear and reserve strength, defects, and the risk of destruction are applied. The possibility of developing recommendations for repair, strengthening or replacement of worn-out elements of individual and unique technical devices of various designs is shown.

World Science ◽  
2019 ◽  
Vol 1 (3(43)) ◽  
pp. 19-25
Author(s):  
Коломієць Оксана Михайлівна

The article analyzes the principles of automation of the control of the technical condition of water transport vehicles, which has been determined: the principle of coherence; the principle of integration; Principle of independence of execution.It is determined that the most effective strategy is to improve the methods of automated control of the technical condition of water transport vehicles, which, unlike existing ones, is based on Markov processes, the Runge-Kutta method of numerical solution of the system of Kolmogorov differential equations and a priori information about the intensity of transitions from state to state.Using the software implementation of the model significantly improves performance due to the ergonomics of the interface and reduced number of operations.


2000 ◽  
Vol 54 (5) ◽  
pp. 721-730 ◽  
Author(s):  
S. S. Kharintsev ◽  
D. I. Kamalova ◽  
M. Kh. Salakhov

The problem of improving the resolution of composite spectra with statistically self-similar (fractal) noise is considered within the framework of derivative spectrometry. An algorithm of the numerical differentiation of an arbitrary (including fractional) order of spectra is produced by the statistical regularization method taking into account a priori information on statistical properties of the fractal noise. Fractal noise is analyzed in terms of the statistical Hurst method. The efficiency and expedience of this algorithm are exemplified by treating simulated and experimental IR spectra.


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