Fuzzy Diagnostic System for Induction Motor Based on Wavelet Analysis and RBF Neural Network
Guo Xi-jin · Research and Exploration in Laboratory · 2012
In view of the situation that characteristic signals may be submerged in noise signals,wavelet analysis was adopted to reduce the amount of noise signal in the original characteristic signals of the current.Meanwhile,by using the optimization interpolation based on RBF Neural Network and CTZ Analysis which possesses refined spectrum characteristics,the spectral resolution was improved,fully reflecting the spectrum details of current's characteristic signal in the situation of breakdown,thus,providing reliable basis for the motor diagnostic system.A fuzzy diagnostic system for induction motor was established based on improved BP Neural Network.Besides the regulation for the diagnosis of eccentric fault was summarized.Experimental results indicate that this system can reliably diagnose the eccentric fault of induction motor.