Fault Diagnosis of Inter-Turn Short-Circuit in Rotor Windings Based on Artificial Intelligence
The inter turn short-circuit in rotor windings take the induced electromotive force,which is detected by detecting coil,as a study object.And a method of fault diagnosis based on Wavelet analysis and neural network is presented.The induced electromotive force is analyzed by wavelet packet,which can decompose and construct the energy eigenvectors.Then set up the neural network and use the energy eigenvectors as the input vector of neural network.The method can correctly locate singularity that appears on the measured potential signal to diagnose faulting slot correspondingly.The simulated experimental results show that the artificial intelligence method combining.detection coil can detect the inter-turn shorted-circuit fault.
motor rotor turn-to-turn short circuit Wavelet analysis neural network
Zhao Juan
Institute of Information Science and Engineering Hebei University of Science and Technology Shijiazhuang.Hebei,China 050000
国际会议
重庆
英文
617-620
2010-09-17（万方平台首次上网日期，不代表论文的发表时间）