Title Intelligent Prediction of Operating State and Fault Identification of Hydropower Unit Fault Diagnosis Expert System
Intelligent prediction of hydropower equipment can advance fault diagnosis to before the occur-rence of faults,thus preventing the damage of unstable operation to the unit equipment and prolonging the life of the unit.In this study,based on ARMA model,matching matrix model(MM)and Hu invariant moment principle,a set of intelligent prediction and fault identification system for hydropower units is de-veloped for the three types of data that need to be focused on the monitoring of the hydropower units:strong autocorrelation parameter,weak autocorrelation parameter,and axial trajectory parameter.This system has been actually equipped since 2019 the prediction results and the actual data fit well.Inputting the various types of potential fault data into the system,the system can predict and accurately determine the type of fault.In summary,this system can realize the advance prediction and diagnosis of faults,which can strongly guarantee the normal and stable power generation of hydropower units.
ARMA modelfault predictionshaft identificationHu invariant momentshydroelectric unit
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