| RBF-NN对发电机转子绕组匝间短路的诊断 |
| |
| 引用本文： | 曲正伟,荣亚君,刘帅,葛葆华,龚源. RBF-NN对发电机转子绕组匝间短路的诊断[J]. 电力系统及其自动化学报, 2011, 23(1): 114-117 |
| |
| 作者姓名： | 曲正伟 荣亚君 刘帅 葛葆华 龚源 |
| |
| 作者单位： | 燕山大学电气工程学院,秦皇岛,066004 |
| |
| 摘 要： | 为了能更准确地诊断出发电机转子绕组匝间短路故障,基于改进的双层动态均值聚类分析的径向基神经网络对转子绕组匝间短路故障进行了诊断.同时,通过对同步发电机转子绕组故障信号进行分析,并把从中提取的故障信号的特征量作为学习样本,通过改进的径向基神经网络的训练,使构造的径向基神经网络能够反映样本的特征向量和转子绕组匝间不同程度的...
|
| 关 键 词： | 同步发电机 转子绕组 匝间短路 径向基神经网络 故障诊断 |
RBF-NN's Diagnosis of Generator Rotor Winding Inter-turn Short Circuit Fault |
| |
| Qu Zheng-wei,RONG Ya-jun,LIU Shuai,GE Bao-hua,GONG Yuan. RBF-NN's Diagnosis of Generator Rotor Winding Inter-turn Short Circuit Fault[J]. Proceedings of the CSU-EPSA, 2011, 23(1): 114-117 |
| |
| Authors: | Qu Zheng-wei RONG Ya-jun LIU Shuai GE Bao-hua GONG Yuan |
| |
| Affiliation: | QU Zheng-wei,RONG Ya-jun,LIU Shuai,GE Bao-hua,GONG Yuan(College of Electrical Engineering,Yanshan University,Qinhuangdao 066004,China) |
| |
| Abstract: | In order to more accurate diagnosis of generator rotor winding inter-turn short-circuit fault,a radial basis function neural network,which based on an improved two-tier dynamic means clustering analysis diagnoses the rotor winding inter-turn short circuit fault in this paper.At the same time,this paper analyses the synchronous generator rotor's winding fault signal,and extract the fault signal characteristic quantities as learning samples.Through the improved RBF neural network's training,we enable construc... |
| |
| Keywords: | synchronous generator rotor winding inter-turn short-circuit radial basis function neural network fault diagnosis |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
