Application of Information Fusion Technology in the Fault Diagnosis of Motor’s Stator Winding
Citic Guoan · Electrical Machinery Technology · 2008
The neural network and information fusion technology was applied into the motor’s stator winding fault diagnosis.First,the signal separating function of the neural network was employed to analyze the current spectrum signal,so that the primary decision of fault diagnosis could be acquired. Second,the asymmetric extent and phase difference of three-phase current was educed by cross correlation analysis,so that the basic probability of fault modes could be obtained.Finally,the information fusion technology was used to analyze manifold information synthetically.