Turbine Generator Set Vibration Faults Diagnosis Based on Wavelet Packet Analysis and Information Fusion Technology
Jingpei Gu, Ping Liang · 2010
According to the four typical fault signals of turbine vibration including: mass unbalance, misalignment, rubbing and loosing from the Bently experiment table, analysis and symptom extraction are carried out by wavelet packet analysis. The fault symptom parameters extracted by wavelet packet compose the framework of the D-S evidence theory; get turbine rotor vibration faults types by the information fusion technology. The results of diagnosis indicate that the faults diagnosis method based on wavelet analysis and information fusion technology can improve the accuracy of fault diagnosis.