TY - JOUR
TI - Application modelling of intelligent diagnosis for thermal cycle system
AU - Liang Chunda
JN - Thermal Science
PY - 2023
VL - 27
IS - 2
SP - 1101
EP - 1108
PT - Article
AB - In order to solve the problem of intelligent fault diagnosis of thermal  system of thermal power unit, the application modelling of intelligent  diagnosis of thermal cycle system is proposed. This paper first filters the  influence of the change of valve opening of steam turbine on the performance  index under the condition of constant power, and qualitatively analyzes the  actual change of the performance index compared with the reference working  condition when the component fails, so as to eliminate the mutual influence  between the components. Then, the selection principle of thermodynamic  parameters is determined, the irreversible loss in the structural theory of  thermal economics is introduced as the performance index, and the model is  used to quantitatively calculate the change of performance index of each  component under fault conditions to diagnose the failed component. Finally,  APROS simulation software is used to simulate various fault conditions of  330 MW units in a power plant. The experimental results show that the  recognition accuracy of the monitoring system designed in this paper can  reach 98.33%. In conclusion, the method in this paper proves the feasibility  of intelligent fault diag­nosis of thermodynamic system network.