Прогнозирование ресурса резистора С2-23
Predicting resource resistor
The paper shows that the main purpose of any industrial enterprise that implements a quality management system in its activities is to restore order in the industrial enterprise, i.e. the introduction of an effective management system. Hence, the quality management system for an industrial enterprise today is a mandatory factor of its existence in the market. It also provides information on the method of calculation of the quality factor of the production equipment. Also, the statistics of the incoming categories of questions in the assessment of the coefficient taking into account constructive failures is reflected.
The standard procedures used in the engineering practice for the dependability prediction of electronic equipment (analytical methods) have a number of significant limitations. Turning to numerical methods, allowing the removal of these limitations, causes the necessity to create the failure model of electronic components for the dependability prediction of electronic components. The aim of the present research is to improve the design work quality by improving the dependability prediction of electronic equipment, taking into account the reliability, durability and storability of electronic components. To develop the failure model, the methods of the dependability theory, the probability theory and computational mathematics have been developed. A failure model of electronic components, representing the functional, linking the implementation of the running time and the base random variable, has been created. In this case, the model parameters have been calculated on the basis of the data on dependability characteristics of their dependencies on the modes and conditions for using the electronic components, as shown on a specific example. Unlike the standardized failure model of electronic components, the proposed model permits simultaneously to take into account the limitations, imposed by the characteristics of reliability, durability and storability, normalized in the Data Sheet.
EWDTS-2019 explores the novel trends in testing, diagnosis, repair of microelectronic systems, and also cyber security, automotive, IoT, artificial intelligence.
In the present work, russian and foreign methods of calculating one of the indicators of testability, the average recovery time, are analyzed. Revealed and justified the need to adjust their mathematical apparatus, taking into account the combination of the methods considered. Based on the conducted research: the application program for calculating the average recovery time according to the methods considered.
In practical medicine, a diagnostic procedure is used only when it can be interpreted at the individual level. The aim of this work was to systematically investigate the relative and absolute reliability of different TMS motor maps parameters. 18 young healthy male right-handed volunteers were enrolled. Two TMS motor mapping sessions of three right-hand muscles were separated by 6-10 days. The analysis was performed using TMSmap software (http://tmsmap.ru). For reliability assessment, intra-class correlation coefficient (ICC) and smallest detectable changes (SDC) were calculated, while for quantitative comparison of the excitability profiles we used a novel earth mover's distance metrics (EMD), the convergence of the parameters depending on the number of stimuli was estimated.
The disadvantages of the methodology for calculating the set of spare parts, tools and accessories (SPTA). A multi-criteria methodology for calculating a local package SPTA based on the convolution method has been developed that allows simultaneous use of several optimization criteria (weight, volume, cost). Based on the convolution method, which allows to reduce the multicriterial task to a scalar one. To check the effectiveness of the developed methodology, the calculation of the local package SPTA for the aviation radar complex was carried out using the current one-parameter and developed multi-criteria techniques. The weight and size of the required spare parts kit was used as limitations. On the basis of the results obtained, an analysis was conducted of the effectiveness of the developed methodology.