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《Power System Technology》 2005-16
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FAULT DIAGNOSIS METHOD FOR TURBOGENERATOR SET BASED ON WAVELET FUZZY NETWORK

LIU Lin1,SHEN Song-hua1,LIU Qiang2 (1.School of Automation Science and Electrical Engineering,Beijing University of Aeronautics and Astronautics,Haidian District,Beijing 100083,China;2.School of Mechanical Electronical and Information Engineering,China University of Mining and Technology,Haidian District,Beijing 100083,China)  
To improve the limitation of applying traditional fault diagnosis method to the diagnosis of multi-concurrent vibrant faults of turbogenerator sets, a new diagnosis method integrating the wavelet transform with fuzzy theory is proposed. The effective eigenvectors are acquired by binary discrete wavelet transform and the fault modes are classified by fuzzy diagnosis equation. By means of choosing enough samples to train the fault diagnosis equation and the information representing the faults is input into the trained diagnosis equation, and according to the output result the type of fault can be determined. Actual applications show that the proposed method can effectively diagnose the multi-concurrent vibrant faults of turbogenerator sets and the diagnosis result is correct.
【CateGory Index】: TM311
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