三相异步电机匝间短路健康状况评估  

Health Assessment of Inter-Turn Short Circuit inThree-Phase Induction Motors

作　　者：阚超豪[1] 王鹏程 王志胜 齐安康 姚骁键 陈功 Kan Chaohao;Wang Pengcheng;Wang Zhisheng;Qi Ankang;Yao Xiaojian;Chen Gong(School of Electrical Engineering and Automation,Hefei University of Technology,Hefei 230009,China)

机构地区：[1]合肥工业大学电气与自动化工程学院,安徽合肥230009

出　　处：《防爆电机》2023年第4期31-34,共4页Explosion-proof Electric Machine

基　　金：大学生创新创业训练计划项目(S202210359071)。

摘　　要：三相异步电机是电力系统的重要组成部分,其在生产生活中起着重要作用。电机故障中发生概率最大的一种故障便是匝间短路故障,若不及时解决,会产生不利影响。但正常方法测量匝间短路故障较为困难。因此,现提出基于扩展Park变换和模糊神经网络的匝间故障诊断方法,进一步简化分析计算,准确检测电机故障问题。同时,分别从模拟仿真与实物样机两方面对故障检测法进行验证。The three-phase induction motor is an important part of electric power system,which plays a significant role in production and life.One of the most likely faults in motor faults is the inter-turn short circuit one,which will have adverse effects if solved not in time.But it is difficult to measure inter-turn short circuit fault by normal method,therefore this paper proposes an inter-turn fault diagnosis method based on the extended Park transformation and fuzzy neural network to further simplify analysis and calculation and then accurately detect the motor faults.At the same time,the fault detection method is respectively verified from aspects of simulation and prototype.

关 键 词：三相异步电机 匝间短路 PARK变换 故障诊断 

分 类 号：TM301.3[电气工程—电机]