Research on Prediction Model of Pressure Difference of Gas Engine Intake System Filter Based on Neural Network
In this paper,a prediction study of pressure difference in gas turbine intake system based on artificial intelligence is presented,and a neural network model for pressure difference prediction is established,in order to solve the problem of gas turbine intake filter failure which caused by poor operating conditions such as wind speed,wind direction,temperature,humidity,rainfall,snowfall,dust,and biological accumulation and so on.The differential pressure of gas turbine filters is comprehensively predicted and evaluated to achieve accurate prediction of differential pressure data and real-time monitoring of factors affecting the deterioration of differential pressure.thereby make preparations in advance,when the pressure difference of the gas turbine intake filter changes abruptly,replace the filter screen in time or reverse blow the filter screen,so as to comprehensively remove the fault.Improving the economy,safety and stability of gas turbine generating units.
gas turbinedifferential pressurepredictionneural network
万方数据
维普
