The complex indicator of the reliability of electronic means - the readiness factor - significantly depends on the average recovery time. At the same time, the largest labor costs are spent by repair specialists on finding a faulty element. Diagnostic repair support depends on the models used in the development of defect detection algorithms. The most common use of diagnostic models in the form of a graph of information and energy connections, which consists of three types of structures: sequential connection of elements, converging and diverging. The latter did not receive the necessary research. In the article as a result of research of influence of forms of the graph of information and power communications on indicators of quality of diagnostic maintenance of subsystems of power supply of radio electronic means analytical dependences of quantitative estimation of the controlled variables on average recovery time are received for the first time. This allows to improve the quality of diagnostic support of existing and promising samples during their design. Minimization of diagnostic errors makes it possible to verify the feasibility of using diagnostic and metrological support during the current repair of electronic devices by the aggregate method, which reduces the recovery time, especially in the field. Depending on the volume of initial data, possible methods for quantifying the probability of the preferred choice of branches of power subsystems of radio electronic means, which also reduces the average recovery time by checking primarily the least reliable and do not require much time to perform checks and troubleshooting. The obtained results should be used in improving the diagnostic and metrological support of power supply subsystems of existing electronic devices and its development for promising samples in order to improve the quality of maintenance, regardless of the structure of choice.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.