Based on Average Energy of Wavelet Packet Coefficient of Asynchronous Motor Rotor Fault Diagnosis
Cao Hai-yan · Coal Mine Machinery · 2013
The article break fault characteristic signal of induction motor is close to the base wave frequencyand the amplitude is small. So it is easy to annihilated by frequency conversion component.The traditional diagnosis methods cannot effectively extract the characteristics of component such asthe spectrum analysis. Articles studied the coefficient of wavelet packet decomposition and wavelet packet node reconfiguration, and calculation of the average energy of wavelet packet coefficients. Then through wavelet packet decomposition to extract the fault characteristic frequency band of signal vector,and computed the normalized average energy band vector of the wavelet packet coefficients,in order to form fault feature vector. Bycomparing the feature vector judge the motor broken rotor bar fault. And the feasibility of this method is verified by Matlab simulation and experimental analysis.