Yehorov S. Computerized system of diagnostics and control of parameters of electronic equipment

As international experience shows, electronic equipment research aimed at solving three major problems: assessment and forecasting reliability; Experimental evaluation of reliability, the adoption of measures to achieve and ensure a specified level of reliability by improving the efficiency of maintenance strategy, backup and volume of spare parts and others. To improve the reliability and noise immunity of electronic systems that operated in the aerospace and aviation industry should be carried out numerous tests to ensure high accuracy, which certainly makes it promising in the application of reliability in electronic equipment. For solving this class need for a system that implements the technology decision-making to determine the parameters of reliability, which requires the development of appropriate methods, models and software and hardware. This fact, of course, require substantial improvement of existing methods and means of solving diagnosis in electronic systems. Due to the fact that the complex system of centralized and distributed control in which digital devices and systems are an integral part of the design in modern aircraft and spacecraft and contain electronic components and modules with high reliability necessary to assess the reliability values and calculate error, which we do by taking a particular theoretical distribution. In this regard, the need to develop a method and parameters control electronics for the study of the problem. Existing methods of reliability electronic equipment does not fully meet the requirements of practice and level of production technology, as sometimes mentioned real reliability indices differ significantly from the projections, and the diagnostic methods of electronic equipment is not considered the effect Lissajous curve and their specific features, which are important development of theoretical bases of process and study a wide class of signals. Taking into account the effect of Lissajous figures during diagnosis and during testing increases the reliability of electronic systems. The work solved an important scientific problem - the model of reliability evaluation parameters by creating statistical data processing technology failures of electronic systems. While solving this problem, the following new scientific results. The first time the computer system based on a mathematical model of the object monitoring and diagnostics of failures defined statistics that makes it possible to synthesize optimal control of application elements through counting of the set of operators process of transition from one state to another under the action of destabilizing factors. Was developed computerized method for simulation tests of electronic systems and components based on Monte Carlo method, which differs from the known functional decomposition process of simulating the following tasks: statistical simulation of failures of electronic systems; check the plausibility of the hypotheses that enables improved simulation process for testing electronic systems and makes it possible to improve the accuracy of the determination of the PU (probability uptime), thanks to the restoration of functional relationships in case of failure statistics. Further development was computer method of diagnosing electronic systems and components, which differs from previously known that takes into account the amount of information and makes it possible to determine the beginning of the process of entropy degradation of electronic components. Further developed a method for evaluating the reliability of electronic systems and components for the experimental data, which unlike existing characterized based on checking the plausibility of the hypotheses and diagnosis using the effect Lissajous curve and provides lower error of the second kind and reduces the cost and time spent on it carrying out. It was investigated residual lifetime prediction system (IRLPS). This is the foundation that offers a complete set of tools to manage as system reliability through individual decisions. It is shown that IRLPS includes a variety of methods and techniques and therefore a huge amount of literature. These areas are at very different stages of development. Although areas such as signal processing and extraction of features, long studied weather system failures based on condition monitoring, is still in its infancy. Some areas are already widely studied long before the concept IRLPS. Methods based on data in IRLPS closely related methods in some other key areas of research, such as statistical quality control, reliability engineering and design of experiments.