DECISION SUPPORT SYSTEM FOR EVALUATION RELIABILITY INDICATORS OF ELECTRONIC PRODUCTS 

Anton S. Ishkov, Candidate of technical sciences, associate professor, associate professor of the sub-department of radio engineering and radio electronic systems, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: ishkovanton@mail.ru 

Background. The relevance of the topic is due to the need to make management decisions to ensure the reliability of electronic products in conditions of insufficient information and unknown algorithms for solving the problem. The advantages of using modern information technologies to automate the process of forming a management decision at different stages of the product life cycle are shown. A decision support system is proposed that allows evaluating the reliability indicators of electronic products using elements of artificial intelligence and unique expert knowledge. Materials and methods. A computer decision support system for ensuring the reliability of vacuum products generally includes modules for control, processing, storage, as well as software that provides input and output of information, including in graphical form. The system database contains a computer model of the product, including a description of the technical characteristics of the product, test methods, methods for calculating and predicting reliability indicators, and methods for analyzing the effect of materials and manufacturing technology on product quality. Results. The effectiveness of using the decision support system by reducing the material and time costs for full-scale testing of products is substantiated. Conclusions. An algorithm for the operation of a decision support system for evaluating the reliability indicators of vacuum products is presented, which is based on a mathematical model of the time of leakage of hydrogen molecules and gels through a vacuum-tight shell of a product. The possibility of a combination of various combinations of product parameters, as well as levels of external influencing factors to achieve the specified values of reliability indicators is shown. 

reliability, expert system, vacuum switches, algorithm, leakage, vacuum, temperature 

Ishkov A.S. Decision support system for evaluation reliability indicators of electronic products. Izmerenie. Monitoring. Upravlenie. Kontrol' = Measuring. Monitoring. Management. Control. 2022;(4):16–23. (In Russ.). doi:10.21685/2307-5538-2022-4-2