Author:
Tolok I.V., ,Banzak G.V.,Leschenko O.I., ,
Abstract
Complex technical objects in modern society are extremely important. Such objects belong to the class of recoverable objects of long-term multiple uses. They tend to be expensive and require significant maintenance costs. To ensure the required level of reliability during their operation, maintenance is usually carried out, the essence of which is the timely preventive replacement of elements that are in a pre-failure state. The problem is that when developing such facilities, all issues related to maintainability and maintenance should be addressed already at the early stages of designing the facility. If you do not provide in advance the necessary hardware and software for integrated monitoring of the technical condition (TC) of the object, do not develop and “embed” the maintenance technology into the object, then it will not be possible to realize in the future a possible gain in the reliability of object due to maintenance. Since all these issues must be resolved at the stage of creating an object (when the object does not yet exist), mathematical models of the maintenance process are needed, with the help of which it would be possible to calculate the possible gain in the level of reliability of object due to maintenance, to estimate the cost costs required for this. Then, based on such calculations, make a decision on the need for maintenance for this type of objects and, if such a decision is made, develop the structure of the maintenance system, choose the most appropriate maintenance strategy, and determine its optimal parameters.
Publisher
Taras Shevchenko National University of Kyiv
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference14 articles.
1. 1.Forecasting to reliability complex object radio-electronic texnology and optimization parameter their technical usage with use the simulation statistical models: [monography] in English / Sergey Lenkov, Konstantin Borjak, Gennady Banzak, Vadim Braun, ets.; under edition S.V. Lenkov. -Odessa: Publishing house "VMV", 2014. -252 p.
2. 2. Jason Brown, Lucas Mol On the roots of all-terminal reliability polynomials / Discrete Mathematics, Volume 340, Issue6, June 2017, pages 1287-1299.
3. 3. Lirong Cui, Yan Li, Jingyuan Shen, Cong Lin Reliability for discrete state systems with cyclic missions periods / Applied Mathematical Modtlling, Volumt 40, Issues 23-24, December 2016, Pages 10783-10799/
4. 4. Iris Tien, Armen Der Kiureghian Algorithms for Bayesian network modeling and reliability assessment of infrastructure systems / Reability Engineering & System Safety, Volume 156, December 2016, Pages 134-147.
5. 5. VolokhO.P. Methods of substantiation rational values operiodicity of maintenance of machines of engineering armament during operation //Collection of scientific works of Military Institute of Taras Shevchenko National University of Kyiv, 2005. -P. 29-32.