机械科学与技术2025，Vol.44Issue(10)：1763-1773,11.DOI:10.13433/j.cnki.1003-8728.20230325
Convformer-NSE融合多源信号的开关磁阻电机故障诊断
Fault Diagnosis of Switched Reluctance Motor with Convformer-NSE Fusing Multisource Signals
摘要
Abstract
In view of the lack of existing research on high resistance connection(HRC)faults of switched reluctance motor(SRM)and the need to improve the classification and identification accuracy of multisource signal compound faults,a diagnosis method for HRC faults and bearing faults of SRM based on Convolution Transformer New SENet(Convformer-NSE)is proposed in this paper.Firstly,the experimental platform of electric vehicle drive system based on SRM is built,and the stator winding current of motor and bearing vibration signals are collected by non-invasive measurement method as HRC faults signal and bearing faults signal respectively.Secondly,the Convformer-NSE model is used to integrate the global and local information of current and vibration signals to realize the process of automatic feature extraction and classification of the original motor signals.Finally,by comparing testing results with relevant models,the proposed method can accurately identify the HRC fault phase location and bearing fault type,and the classification accuracy can reach 100%.In addition,experimental results under different noise environments show that the proposed method has good robustness and reliability.关键词
开关磁阻电机/高阻接触故障诊断/轴承故障诊断/Transformer/Convformer-NSEKey words
SRM/HRC fault diagnosis/bearing fault diagnosis/Transformer/Convformer-NSE分类
机械制造引用本文复制引用
韩厚宏,宋俊材,陆思良,王骁贤..Convformer-NSE融合多源信号的开关磁阻电机故障诊断[J].机械科学与技术,2025,44(10):1763-1773,11.基金项目
国家自然科学基金项目(52207036,62203010,52075002)与安徽省自然科学基金项目(2208085QE167) （52207036,62203010,52075002）
