关键词: 汽轮机转子 , 故障诊断 , 小波包 , BP神经网络

Abstract: Turbine rotor fault diagnosis is the key to ensuring the safe operation of the steam turbine. Vibration signal analysis is widely used in turbine rotor fault diagnosis. The wavelet packet analysis method was adopted to extract the vibration signal eigenvalue as the input of BP neural network, the nonlinear mapping relationship between signal features and fault type and realizing the fault diagnosis with BP neural network was established. The simulation results show that this method can effectively diagnosis turbine rotor fault.

Key words: Turbine rotor , Fault diagnosis , Wavelet packet , BP neural network