Application of Data Mining Technology in Gas Turbine Fault Diagnosis and Prediction
This paper describes the method of gas turbine fault diagnosis and prediction based on data mining.It proposes an effective fault diagnosis model by analyzing a large amount of historical data,combining machine learning and statistical techniques.The experimental results show that the model can accurately predict the faults of gas turbines.