FIELD: measurement; machine building.
SUBSTANCE: invention relates to methods of estimating technical condition of turbine blades of gas-turbine engines during their operation. Method consists in that preliminary determining values of damping ability of turbine blades is pre-determined based on test results, scattering of critical dimensions of blades as per results of their measurement, zones of turbine blades with maximum damageability, damage values of each of certain zones of turbine blades are calculated with account of dispersion depending on values of engine cycle parameters and neuron for each zone of turbine blades is trained on the basis of calculated values of their damageability. As input values each neural network has values of engine cycle parameters, and as output values – values of damageability of corresponding zone of turbine blades. In process of engine operation its main parameters are measured, including temperature and pressure of air at engine inlet, by their values current values of engine cycle parameters are determined and fixed, taking into account of which values of accumulated damageability of zones of turbine blades are determined using trained neural networks. Values of accumulated damageability of zones of turbine blades are compared with maximum permissible values of damping capacity of turbine blades and by results of comparison conclusion is made on technical state of turbine blades.
EFFECT: high reliability of evaluating technical condition of turbine blades of a gas-turbine engine.
1 cl, 4 dwg, 1 tbl
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Authors
Dates
2020-06-30—Published
2020-01-29—Filed