This paper discusses conceptual issues of stocking for recovery of technical systems, including issues of selecting SPTA kits and their optimization criteria, correlation of two methods of failure correction, by repairing and by replacing a faulty element by a spare part. The paper indicates disadvantiges of the approximate method of system reliability calculation taking into account SPTA and used in the industry.

The paper presents a methodological approach to definition and solution of tasks related to preventive replacement optimization and technical equipment repair under conditions of uncertainty of initial information.

The paper describes a generalized method of estimating residual lifetime for an object with an arbitrary operating strategy. Asymptotic and non-asymptotic assessments of factors converging in the long-term object operation have been obtained. The main idea of the developed approach is to bring down an arbitrary renewal process to a well-known alternating renewal process. The method makes it possible to predict the residual lifetime of equipment at the operational stage, and it can be used in estimating resource characteristics of nuclear power plant (NPP) equipment.

The paper offers a computational and experimental method for estimating reliability indicators of complex chemical technological systems based on the results of tests using available prior information on reliability derived from testing of components. As a result, it has been found that when estimating and controlling the reliability of system using prior information, it allows us to reduce substantially the amount of its required testing.

The paper considers a method for managing risks of automated systems under conditions of cyber attacks based on dynamic control and risk minimization of information resource violations. The method offers analytical expressions for target functionality and tolerances of risk factors enabling to make reasonable decisions on risk management of automated systems.

We discuss the decision procedure used in the Commission Decision [1] for national reference values (NRV). According to the safety directive, every year seven safety indicators have to be computed for every member state. In the decision a fixed procedure has been presented for computing the safety indicators and to assess whether there is a possible deterioration in safety. In the safety assessment, the decision depends on a weighted sum in place of an arithmetic mean.

It is then of interest how such a decision procedure would behave and what would be the advantages and disadvantages of the particular method. In this paper, we study a slightly simplified version of the procedure by two means. First, we analyse the weighted sum and derives its characteristic as efficiency. Moreover, we compare it via a spread with an ordinary sample mean. We support the theoretical results with the help of a simple simulation study in order to estimate failure probabilities of the first and second kinds. In particular, we construct bad alternative distributions which the decision procedure cannot distinguish.

The paper analyzes accidents on transport. It offers to use regression analysis methods to analyze the impact of various factors on traffic safety. The authors propose to apply a model of the dependence of damages caused by transport accidents on a set of negative factors that influence its occurrence. A nonlinear regression model with discontinuity is applied for construction of the model. The model is constructed to obtain data on actual or predictable levels of train traffic safety. These data are necessary to assess the adequacy of measures aimed at ensuring the standard safety level to minimize the resources allocated to the tasks of safe train operations, including justification of priorities in the allocation of resources. In the paper, we consider two examples. The first example shows the results of calculations based on real data about accidents on the USA railways. The second example is constructed using the results of computational simulation of the degree of damage and factors.

Book by Igor b. Shubinsky Structural Reliability of Information Systems.

Book by Shubinsky I.B. Functional Reliability of Information Systems.