FIELD: power engineering.
SUBSTANCE: methods to adjust gaps in a turbine include application of at least one working parameter as input data, at least into one model of a neuron network, modelling of thermal expansion by means of the neuron network model for at least one turbine component, and execution of a control action at least partially on the basis of the modelled thermal expansion of one or more turbine components. The system comprises a controller made as capable of determination and application of working parameters as input data into a model of a neuron network, modelling of thermal expansion by means of the neuron network model, and execution of a control action at least partially on the basis of the modelled thermal expansion.
EFFECT: invention makes it possible for provide for higher efficiency of turbine functioning operation.
10 cl, 9 dwg
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