电机定子匝间短路故障诊断方法研究
A Diagnosis Method for Inter-turn Short Circuit Fault in Motor Stator
李昂 1王彤 1张健1
作者信息
- 1. 国能大渡河检修安装有限公司,四川 乐山 614000
- 折叠
摘要
三相异步电机定子发生匝间短路故障时,定子电流信号的频谱中会增加特定频率的故障特征.本文针对三相异步电机建立有限元模型并植入故障,采集定子电流信号并用FFT(Fast Fourier Transformation,快速傅里叶变换)提取电流中的故障特征,使用LSTM网络(Long Short-Term Memory,长短时记忆网络)进行预测表明,此方法针对定子匝间短路故障的识别准确率达 93%,为该故障诊断提供了一种有效的方案.
Abstract
When an inter-turn short circuit fault occurs in the stator of a three-phase asynchronous motor,fault charac-teristics with specific frequencies will be added to the frequency spectrum of the stator current signal.Thus,a finite ele-ment model of the three-phase asynchronous motor is established firstly and the inter-turn short circuit fault is simulated.The stator current signal is then collected and the fault characteristics are extracted with Fast Fourier Transformation(FFT).The Long Short Term Memory(LSTM)Network is adopted for prediction.Experimental simulation shows that the accuracy of the proposed method in identifying the inter-turn short circuit fault can reach 93%.It provides an effec-tive solution for the diagnosis of such fault.
关键词
三相异步电机/定子匝间短路/LSTM网络Key words
three-phase asynchronous motor/inter-turn short circuit fault of stator/LSTM network引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据