Abstract
The concept of a multidisciplinary approach to assessing the resource of individual components of the machine by combining database information based on simulation techniques and functional tensomethration is proposed. Simulations determine the reperative points of the tendometric sensors. The creation of a diagnostic model using basic concepts of information theory has allowed the development of a synergistic model for the recognition of the area of displacement of areas of uncertainty, which will ensure the identification of the defect (risk-denial). The formation of an electronic database of parametric data on the nature of loads as a diagnostic indicator of the change in the accuracy of pairing in machine systems is justified. Experimental studies were conducted on the model of the quick-capler. Hierarchical structuring of the machine to the level of mating parts with digital control of the criticality of the magnitude of external and internal loads ensures reliability control throughout the entire service life of the machine. When disposing of machines, this data allows you to obtain information about the residual resources of the elements for their reuse or the feasibility of restoration. This, in turn, will ensure the environmental friendliness and economy of the process.
Highlights
Xiangxiang Sun et al [12] assess the impact of market segmentation on the practical implementation of technological innovations, especially in small towns and rural settlements with a low technical standard of living
It is necessary to solve a number of systemic problems, among which the key ones are the problems of searching for the identification of sources of uncertainty, modal analysis of the information content of the results and their presentation in the algorithmic form of digital recognition for the subsequent creation of a mechanism for managing the risk of failures of a technical system
The measuring module converts this voltage into the values of the measured value and transmits the results digitally
Summary
The representation of a technical system as interconnected parameters is one of the methods to establish the degree of influence, and to determine the technical condition by of diagnostic recognition of the intensity of parameter changes. The purpose of the analysis of the uncertainty of the state of a technical system is to translate the uncertainty of the initial parameters and assumptions used when the risk assessment into the uncertainty of the results To achieve this goal, it is necessary to solve a number of systemic problems, among which the key ones are the problems of searching for the identification of sources of uncertainty, modal analysis of the information content of the results and their presentation in the algorithmic form of digital recognition for the subsequent creation of a mechanism for managing the risk of failures of a technical system
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
