摘要
参数估计算法是基于故障时电机特性参数变化来诊断异步电机故障的一种经济有效方法。首先研究了电机定子短路故障的数学模型,根据数学模型确定了代表电机故障的四个特征参数,并在Simulink参数估计工具箱中采用全局搜索算法成功估计这四个参数。最后,通过仿真结果验证了参数估计算法在噪声环境下基于低信噪比(S/N)的定子电流故障诊断可行性。
Parameter estimation algorithm is a cost-effective method for diagnosing failures of the asynchronous motor based on the change of characteristic parameters during a motor failure.Firstly,a mathematical model of motor stator short circuit fault was studied.According to the mathematical model,four characteristic parameters representing the motor fault were determined and successfully estimated according to the global search algorithm in the Simulink parameter estimation tool kit.Finally,simulation results verified the feasibility of the parameter estimation algorithm in its diagnosis of stator current fault based on low S/N ratio in a noisy environment.
作者
姜新通
刘钊铭
陈言
白宇
Jiang Xintong;Liu Zhaoming;Chen Yan;Bai Yu(College of Electrical Engineering and Information,Heilongjiang BayiAgricultural University,Daqing Heilongjiang 163319,China)
出处
《电气自动化》
2019年第5期10-12,48,共4页
Electrical Automation
基金
黑龙江八一农垦大学科研启动项目支持(项目编号XDB2013-17)
关键词
参数估计
电机故障诊断
特征参数
全局搜索算法
低信噪比
parameter estimation
motor fault diagnosis
characteristic parameter
global search algorithm
low S/N ratio
