The article examines the issue of precision rotary systems (PRS) and the relationship between their dissipative characteristics and changes in design parameters, which is applicable for assessing the quality of their assembly and diagnosing objects in general. We identified a dynamic model, the dissipative parameters of which sufficiently accurately reflect the local properties of the structure. The question of assessing the quality of assembly by dissipative parameters comes down to the choice of the diagnostic sign that is most suitable for this case and the method of its measurement. Such a sign is a phase shift between the disturbance force and the vibration velocity. From this point of view, phase-frequency measurement methods are generally more accurate, which allows using the advantages of precise hardware methods to obtain information to the fullest extent. The proposed variation ratio, which connects the changes in a real object’s phase vector of the mechanical impedance (PVMI) and the deviation of the dissipative parameters of its mathematical model, makes it possible to diagnose the dissipative parameters with a sufficient accuracy degree. The considered numerical example of a partial assembly of precision rotary systems confirms the accuracy of the calculation. Thus, the proposed variation ratio, which connects the changes in the PVMI of a real object and the deviation of the dissipative parameters of its mathematical model, allows for the diagnosis of the dissipative parameters with a sufficient accuracy degree. The considered numerical example of a partial assembly of the PRS confirms the accuracy of the calculation. This fact is of particular importance in manufacturing aviation and space technology products. We should also note that the existing analysis methods do not provide an opportunity to form an idea about the nature of the total measured signal and its structure. Therefore, the work solves the task of developing a method for diagnosing the controlled technical condition of a rotary electromechanical system based on the selection of the most informative ranges of the output signal to increase the reliability of diagnosis. Keywords: oscillatory system, dissipative properties, mathematical model, phase angle, impedance, sensitivity matrix.
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