Abstract
The purpose of the research is to increase the effectiveness of information and measurement and control systems of vibration testing equipment by introducing automated processing of experimental data allowing to extract with the required accuracy resonant bursts in the investigated amplitude-frequency characteristic section of the developed sample of a technical tool. To achieve this goal, a new method for processing experimental data by linear functions of variable length has been developed. The proposed method is based on the elements of the classical least squares method used to construct single approximating linear functions. The proposed method for processing experimental data differs from the known ones in that the number of linear approximating functions and their lengths vary depending on the required accuracy of approximation. The authors developed a mechanism for the formation of a sequence of linear functions on the considered segment, taking into account the given accuracy of approximation. The proposed mechanism is implemented in the form of algorithms, the description of which is presented in the work. Practical significance of the application of the developed method consists in reducing the processing time of the experimental data and obtaining the information necessary for the development engineers to provide a given level of strength and stability to external vibrational influences of the developed technical tools.
Highlights
Цель исследования – повышение эффективности информационно-измерительных и управляющих систем виброиспытательного оборудования путем введения автоматизированной обработки экспериментальных данных, позволяющей с требуемой точностью выделять резонансные всплески на исследуемом участке амплитудно-частотной характеристики (АЧХ) разрабатываемого образца технического средства
Для достижения поставленной цели предложен новый метод обработки экспериментальных данных линейными функциями переменной длины
The proposed method is based on the elements of the classical least squares method used to construct single approximating linear functions
Summary
Для цитирования: Метод обработки экспериментальных данных линейными функциями переменной длины / А. АО «Научно-производственное предприятие «Рубин», 2 ФГБОУ ВО «Пензенский государственный технологический университет»
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