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Fault Diagnosis of Rotor System Based on EMD-Fuzzy Entropy and SVM
WANG Lei;JI Guo-yi
2012, 32 (3):
171-176.
DOI: 10.3969/j.issn.1006-1355.2012.03.040
A comprehensive fault diagnosis method combining Empirical Mode Decomposition (EMD) with Fuzzy Entropy and Support Vector Machine (SVM) for rotor system was proposed. Firstly, the fault signal of the rotor system was decomposed with EMD method into a number of intrinsic mode functions (IMFs), and a method for canceling pseudo mode function in EMD was presented based on energy conservation law. Then as the fact that Fuzzy Entropy can express the complexity of signal and has relative stability, the fuzzy entropies of the first four IMFs were taken as eigenvectors of fault signals. Finally, the eigenvectors were put into SVM to distinguish the faults of the rotor system. The result indicates that this method can effectively extract fault characteristics and diagnose the fault of the rotor system.
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