摘要
永磁同步电机长期运行后,会发生各种故障,例如退磁故障、匝间短路故障、轴承故障等,及时对电机故障进行诊断是一项重要工作。提出了一种基于数字孪生的永磁同步电机故障诊断方法,介绍了数字孪生技术的基本架构,根据永磁同步电机的物理实体参数,构建永磁同步电机数字孪生模型,并将其与故障诊断技术相结合,实现对永磁同步电机的匝间短路和退磁故障智能化诊断。
After long-term operation,Permanent magnet synchronous motors(PMSM)are inevitably prone to various faults,such as demagnetization faults,inter turn short circuit faults,bearing faults,etc.Timely diagnosis of motor faults is an important task.A fault diagnosis method of PMSM based on digital twin was proposed,and the basic structure of digital twin technology was introduced.According to the physical entity parameters of PMSM,the digital twin model of PMSM was constructed,and it was combined with fault diagnosis technology to realize intelligent diagnosis of turn to turn short circuit and demagnetization faults of PMSM.
作者
龙玉江
王杰峰
钱俊凤
赵文彬
LONG Yujiang;WANG Jiefeng;QIAN Junfeng;ZHAO Wenbin(Information Center of Guizhou Power Grid Co.,Ltd.,Guiyang 550000,China;Shanghai University of Electric Power,Shanghai 201306,China)
出处
《微特电机》
2024年第2期74-78,共5页
Small & Special Electrical Machines
关键词
永磁同步电机
数字孪生
故障诊断
permanent magnet synchronous motor
digital twins
fault diagnosis