Abstract
Fault diagnosis is a key technology to ensure safe and reliable operation of large electromechanical equipments. Fault feature extraction is important in fault diagnosis process. For non-stationary vibration signal, energy normalization method based on wavelet packet is used to make signal processing with signals decomposed into different frequency bands to perform energy normalization process in corresponding frequency band so as to extract fault feature. Flue Gas Turbine is chosen as research object and analysis shows that energy normalization processing method based on wavelet packet can effectively extract non-stationary signal characteristic parameters and make effective nondestructive testing analysis of equipments condition.
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