期刊信息
- 刊名： 河北师范大学学报（自然科学版）Journal of Hebei Normal University (Natural Science)
- 主办： 河北师范大学
- ISSN： 1000-5854
- CN： 13-1061/N
- 中国科技核心期刊
- 中国期刊方阵入选期刊
- 中国高校优秀科技期刊
- 华北优秀期刊
- 河北省优秀科技期刊
气相色谱法分析柑桔中的嘧啶氧磷残留量
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1. 北京农业职业学院 清河校区汽车专业, 北京 102208;
2. 北京理工大学 电动汽车协同创新中心, 北京 100081 -
DOI：10.13763/j.cnki.jhebnu.nse.2019.02.006
The Inter-turn Short Circuited Fault Detection Based on Wavelet Analysis in PMSM
摘要/Abstract
为研究电动汽车永磁同步电机匝间短路故障的检测方法，首先建立永磁同步电机匝间短路故障的有限元仿真模型；然后，在多种工况下对正常电机和故障电机的定子电流进行小波分析，提取特征频段系数的均方根（RMS）作为匝间短路故障检测的依据，并设定故障检测的阀值.实验结果表明，基于定子电流小波分析的方法能够检测电动汽车永磁同步电机匝间短路的故障.
In order to study the method of faulty detection of winding inter-turn short circuit for permanent magnet synchronous motor(PMSM) in electric vehicle,the simulation model is first established by using 2-D finite element software,then the simulation results are further researched by the means of wavelet analysis about the normal and faulty motors' stator current at different of operating conditions,at last extracted the RMS of the wavelet coefficients in the band feature as the standard to detect inter-turn short circuit fault,and set the threshold of detection.The results show that wavelet analysis method for stator current can proved a basis for fault detection of PMSM inter-turn.