Authors: I.A. Azizyan

Title of the article: The task of choosing a distribution law for diagnosing the state of a technical system in the learning process

Year: 2022, Issue: 5, Pages: 48-54

Branch of knowledge: 05.02.11 Methods of control and diagnostics in mechanical engineering

Index UDK: 519.248

DOI: 10.26730/1999-4125-2022-5-48-54

Abstract: The relevance of the work: the formation of professional competence of graduates of a technical university in the specialty "Engineering Technology" during the implementation of the educational process, using the example of mathematical cycle disciplines, contributes to a better understanding of the laws of the construction of technological processes, optimization of evaluation, diagnostics, operation and repair of the product.
Studying the elements of professional and basic disciplines in unity, which is the basis of practice-oriented training, contributes to improving the quality of technical education.
The purpose of the work: to substantiate the importance of integrating subject knowledge and tools of professional tasks to strengthen interdisciplinary connections in the context of the formation of professional competencies of graduates of a technical university.
Research methods: the solution of the tasks set in the work, in the context of assessing and diagnosing the reliability of the technical system, was carried out on the basis of comparative and statistical analysis of mathematical models, as well as through graphical interpretation of the results obtained. Practical problems of selection of laws of distribution of reliability characteristics with the help of advanced software products and disciplines of the mathematical cycle are considered.
Results: the tasks representing the elements of basic and special disciplines in the educational process in unity are selected; an algorithm for the implementation of the statistical method for establishing the law of the distribution of the failure-free operation of the technical system by means of two computer programs is developed.

Key words: diagnostics distribution law professional competencies

Receiving date: 12.09.2022

Approval date: 01.10.2022

Publication date: 18.10.2022

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