FAULT DIAGNOSIS METHOD OF WIND TURBINE GEARBOX BASED ON FULL VECTOR FREQUENCY BAND ENERGY SPECTRUM

Because the local weak fault of wind turbine gearbox is difficult to diagnose, the fault diagnosis method based on full vector frequency band energy spectrum was proposed. In this method, the full vector theory was used to make the information fusion of homologous signals and obtain the full vector signal with constant phase and better information. Then the FIR filter was used to decompose the full vector signal, calculate the energy of each frequency band as the eigenvector to identify the working state. The energy of each frequency band of signals for the conditions of normal, tooth root crack and uniform wear was analyzed to find the energy change rate at frequency transfer and engage frequency for identifying all kinds of faults accurately. By identifying 50 groups of signals under different conditions, it shows that the method can distinguish early local weak failure of wind turbine gearbox effectively.