Detection and Diagnosis of Urban Rail Vehicle Auxiliary Inverter Using Wavelet Packet and RBF Neural Network

Guangwu Liu, Jing Long, Lingzhi Yang, Zhaoyi Su, Dechen Yao, Xiangli Zhong
2013 Journal of Intelligent Learning Systems and Applications  
This study concerns with fault diagnosis of urban rail vehicle auxiliary inverter using wavelet packet and RBF neural network. Four statistical features are selected: standard voltage signal, voltage fluctuation signal, impulsive transient signal and frequency variation signal. In this article, the original signals are decomposed into different frequency subbands by wavelet packet. Next, an automatic feature extraction algorithm is constructed. Finally, those wavelet packet energy eigenvectors
more » ... nergy eigenvectors are taken as fault samples to train RBF neural network. The result shows that the RBF neural network is effective in the detection and diagnosis of various urban rail vehicle auxiliary inverter faults.
doi:10.4236/jilsa.2013.54023 fatcat:jtyhcaqd7vglrekbhz4cknz3bu