부산대학교 도서관

In order to improve the fault diagnosis capability of the turbomachinery regulation system, this paper researches an intelligent monitoring method for the hydraulic regulation system, which monitors the pump set efficiency and turbine valve motion status of the hydraulic regulation system respectively. Firstly, the working characteristics of the hydraulic regulation system are analyzed, then the thermodynamic model of the pump group of the oil supply unit and the motion state model of the valve of the execution unit are established. Secondly, according to the model, the hardware platform is built to collect, process and analyze the calculated measurement point data. Thirdly, for the oil supply unit, the observed values of the pump set efficiency are obtained by calculation and combined with other system parameters for fault diagnosis. For the actuating unit, a model based on the Luenberger observer is established to identify changes in key parameters of valve motion online and used for fault diagnosis combining expert experience. Finally, the two analysis modules are integrated and then combined with intelligent control technology to establish an expert analysis system to predict the operation status of the entire regulation system and to predict and diagnose system faults, thereby improving the operational reliability of the entire generator set.