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Усовершенствованный алгоритм исследования безопасности электронных цепей с помощью N-норм в радиоэлектронной аппаратуре
Problem statement: As the number of electronic devices grows, it can become difficult for them to work together. The current trend towards miniaturization motivates developers of electronic equipment to design components so that there is a minimum distance between them. However, small distances produce serious coupling issue for the device operation. More specifically, when electronic components interact, there is a possibility of electromagnetic interference or crosstalk that can negatively affect the performance of critical elements. This issue is particularly relevant for sophisticated critical systems, for example, large data centers or aerospace equipment. The complexity of developing devices and taking into account their safety lies in the large time costs spent on the design process. In this regard, engineers can take advantage of simulation systems and reduce this time. Moreover, they can predict and simulate scenarios that may potentially produce dangerous effects, such as electrical breakdowns, interference or sparking of components, when several wires are located close to each other. However, it is still relevant to improve simulation systems with respect to their accuracy in identifying and preventing uncontrolled behavior of electronic equipment as early as at the design stage. The purpose of this work is to present a novel algorithm that features the search for voltage extremes and the use of N-norms for identifying vulnerable places, i.e. with high peak voltages, as well as to compare the performance of this algorithm with the existing one in determining signal responses along all possible propagation paths in test and real structures. Methods: Within the framework of the study, we employ the search for extreme voltages, N-norms, and quasi-static analysis of six multi-conductor transmission lines. Novelty: A novel algorithm is introduced that determines all possible signal propagation paths of signal response using N-norms on the example of real structures. A superior performance of this algorithm is proven by comparing it with the existing one. Result: The use of the novel algorithm enabled determining all possible paths in six structures, one of which is a real modal filter. As a result, a global maximum voltage found with the improved algorithm exceeded the voltage found by the existing algorithm by 15%, and a minimum voltage – by 110%. Practical relevance: Comparing the proposed algorithm using real structures allowed us to test the work of this algorithm more widely. Its further refinement will make it possible to more accurately analyze the safety of electronic devices of increased complexity. The proposed improvement of the algorithm was implemented in the domestic software TALGAT, which is vital for the technological sovereignty of our country.