Issue |
E3S Web Conf.
Volume 371, 2023
International Scientific Conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East” (AFE-2022)
|
|
---|---|---|
Article Number | 03046 | |
Number of page(s) | 10 | |
Section | Innovations in Environmental Engineering | |
DOI | https://doi.org/10.1051/e3sconf/202337103046 | |
Published online | 28 February 2023 |
Quality assessment of reliability engineering systems
Moscow State (National Research) University of Civil Engineering, 129327 Moscow, Russia
* Corresponding author: elizavetakondr@gmail.com
Quality and quality assessment are key indicators in many fields. There exist various interpretations of the quality concept, such as technical, legal, and economic definitions. The fundamental aspect of technical systems is the quality problem, and there are different ways to assess quality. This paper examines the relationship between quality and reliability that forms the basis of the safety property and offers a quality assessment that relies on system reliability characteristics using a mathematical methods. Reliability is influenced by random concepts and events, such as the moment of failure. Costly long-term reliability tests on a large number of products are required to determine whether a particular object is suitable. As an example, the reliability of the redundant recoverable system is considered. Reliability influences the security property. Failure of an object decreases the values of the remaining properties dramatically. The theory of random processes, including the use of the theory of Markov processes, is a rational mathematical technic for solving reliability problem. Quality assessment tasks can also be attributed to management tasks, which are becoming increasingly popular in various areas. As an example, the reliability of the redundant recoverable system is considered. The paper uses the generally accepted concepts of the probability, reliability function, failure rate, etc.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.