Abstract
The object of research is the reliability indicators of the Pridnestrovian gas transmission system (Moldova). The conducted research is based on the mass service theory. This research is aimed at studying reliability indicators in terms of determining the quantitative composition of performers and the period of system failure elimination as the most cost-effective aspects of gas transmission organization activities. Since gas consumption facilities are growing annually, the further improvement of the reliability quality of the maintenance system is required. At the same time, as the service life of existing systems increases, the probability of its elements failure increases, which may result in reduced or complete loss of serviceability. It is the reliability indicator that reflects this process and represents a quality characteristic attributed to time. These questions can be solved by mass maintenance theory by investigating a random process and presenting it with a mathematical model of reliability. The proposed method of mass service system research reveals that incoming flows can be considered as Poisson’s (simplest) models, and in most cases it is possible to obtain satisfactory indicators of accuracy in solving the problem. As a result of the construction of a mathematical model, the analysis of existing failures in work by categories was carried out. Using the Kolmogorov criterion, it was determined that the experimental process for distributing applications is Poisson (the simplest). The average time to eliminate the system failure and the average value of the work performers were obtained, and it was also revealed that the irrational use of the calculated resources can lead to irreversible processes. Application of the proposed mathematical model for determination of reliability indicators will be effective also at operation not only of engineering systems but also of other objects of heat and power region due to the complex approach to realization of questions on accident-free activity of objects, both at design stage and at operation.
Highlights
The annual increase in the number of gas supply facilities and the length of gas distribution networks leads to a constant increase in the reliability of the system as a whole with the observance of basic parameters in case of accident-free operation [1,2,3].The problem of reliability has been repeatedly raised and is being raised by many scientists
This article addressed the issues of ensuring the reliability of the gas transmission system by choosing the right number of performers and the accident elimination period
The proposed mathematical model will determine the need to ensure the reliability of the system by timely repair work, as at the time of design, as well as during the operation of the object, and the correct choice of the quantitative composition of performers to ensure the reliability index P = 0.9999 and the time allocated to eliminate the failure of the system
Summary
The annual increase in the number of gas supply facilities and the length of gas distribution networks leads to a constant increase in the reliability of the system as a whole with the observance of basic parameters in case of accident-free operation [1,2,3].The problem of reliability has been repeatedly raised and is being raised by many scientists. The annual increase in the number of gas supply facilities and the length of gas distribution networks leads to a constant increase in the reliability of the system as a whole with the observance of basic parameters in case of accident-free operation [1,2,3]. In [4] shown that the technical condition of gas distribution networks is at a high enough level, the problem of ensuring their reliability and efficiency is one of the highest priority problems. It should be noted that reconstruction requires substantial financial and material resources. Under these conditions, along with investments, reliability management tools based on modern technologies of statistical management of operation processes become a means of improving technological reliability of the gas distribution network
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