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《Electric Power Science and Engineering》 2005-03
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Application of Wavelet Packet Analysis in Turbine Fault Diagnosis

XU Huan-xin, TIAN Pei, XU Xiao-gang ( Introduction of Hebei Software Institute, Baoding 071000, China; North China Electric Power University, Baoding 071003, China)  
Experimental platform is used to simulate typical faults of turbine. Based on the frequency domain feature, energy eigenvector of frequency domain is presented using wavelet packet analysis method, and the way of best tree is used to choose symptom. The fault states are recognized using neural network. The simulations show that it makes good performance.
【CateGory Index】: TK268
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