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《Guangdong Electric Power》 2009-08
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Turbine Rotor Vibration Fault Diagnosis Based on Wavelet Packet Analysis and Lyapunov Exponent

YAN Bo1,LIANG Ping1,BAI Lei2(1.Electric Power Col.,South China Univ.of Technology,Guangzhou,Guangdong 510640,China;2.York(Guangzhou) Air Conditioning and Refrigeration Equipment Co.,Ltd.,Qingyuan,Guangdong 511685)  
According to the four typical fault signals of turbine rotor vibration,including rubbing,loosening,misalignment and mass unbalance which are collected from the Bently experiment set,the method which combines wavelet packet analysis and Lyapunov exponent is adopted to diagnose the faults.First,wavelet packet analysis is used for filtering the fault signals,extracting useful signal frequency segments from original signals.Then the filtered signals are treated again to extract the chaos characteristic quantity,i.e.Lyapunov exponent for fault location.The diagnostic results indicate that wavelet packet analysis is of good ability of filtering and extracting nonstationary signal;the Lyapunov exponent of vibration time series can distinguish different fault conditions,and is of good discriminability in turbine rotor fault diagnosis.
【CateGory Index】: TK268.1
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