FIELD: mechanical engineering.
SUBSTANCE: invention relates to the field of mechanical engineering and can be used to diagnose the state of technical equipment. When implementing the method, which includes measuring the operating parameters of a real rotor system and comparing the obtained parameters with the same values measured in the initial state, the data are recorded in two directions: vertical and horizontal with respect to the rotor axis of rotation. In this case, the diagnosis is carried out in two stages, at the first of which preliminary training of the artificial neural network is carried out on the recorded signals of the monitoring system for the operable state of the rotor system and for each case of a diagnosed defect. At the second stage a forecast of the state of the real rotor system is obtained by data processing, obtained from it, and by comparing them with the data obtained at the stage of training the artificial neural network, with the output of the result to the information display unit, the obtained data are recorded in one direction: vertical or horizontal with respect to the axis of rotation of the rotor.
EFFECT: increasing accuracy and speed of the diagnostic system for detecting various types of defects in rotor systems in real time with high speed through the use of pre-trained artificial neural networks.
1 cl, 1 dwg
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Authors
Dates
2021-08-12—Published
2020-09-23—Filed