On - line detecting inter - turn short circuit in stator winding of ac electrical machine based on fuzzy neural network 基于模糊神经网络的电机定子绕组匝间短路故障的在线诊断
Firstly , the fault features of rotor bar breaking and stator winding inter - turn short circuit are analyzed in this paper , deeply and thoroughly 本文对异步电动机转子断条与定子绕组匝间短路故障特征进行了机理、仿真与实验分析。
The transient simulation of stator winding inter - turn short circuit fault has been completed successfully based on the multi - loop mathematical model 基于神经网络技术,提出了以定子负序导纳平均值作为故障特征量的异步电动机定子绕组匝间短路故障检测方法。
Secondly , a series of novel detection schemes are presented creatively . furthermore , this paper proposes the joint detection scheme for rotor bar breaking and stator winding inter - turn short circuit fault in squirrel cage asynchronous motors , for the first time . meanwhile , a parameter identification technique based approach to detect stator / rotor over - heating fault is also presented 在此基础上,提出了异步电动机转子断条与定子绕组匝间短路故障检测新方法;首次提出了笼型异步电动机转子断条与定子绕组匝间短路故障联合检测方法;基于参数辨识技术,提出了异步电动机定转子绕组过热故障检测新方法。