Reliability evaluation method of complex technical systems based on test results of disassembled components

Reliability is an applied scientific direction. Here, the methods of research of systems under conditions of occurrence and elimination of random events are used and developed: failures of components of these systems. Basic research methods and conclusions of reliability theory are of general nature and can be applied in any field of engineering. In this paper, a team of authors considered an urgent problem of modern production, which is an overestimated number of full-scale tests, which entails an increase in the cost of products. The aim of the work is to create a method for evaluating complex technical systems based on the results of testing its elements, in particular electrical circuits. The practical significance of the work is expressed in the application of the method in analytical calculations of the reliability of component parts based on test data in the design of new complex technical systems and complexes. Also, in the work, the types of system failures are briefly considered and classified, and a method for experimental assessment of system reliability is given. The most significant factors for the stage of statistical processing are considered and analyzed. The following is a review of the literature on the issue under study and several examples of the use of the method in practice, with confirmation of the accuracy of the result by practical testing. As a result of the work, it was obtained that if the estimates of the probabilities of failure-free operation of all elements of the system are the same, then the estimates of the probabilities of the states of systems with a failure of the same number of elements are also the same. As a conclusion, practical recommendations on the application of the method are presented, but also the experience of the authors in the operation of complex technical systems shows that the operational reliability is almost always lower than the level obtained from the calculation results. The inaccuracy is explained by the imperfection of the production technology and the low reliability of reference information.