中国电机工程学报2024，Vol.44Issue(14)：5747-5755,中插26,10.DOI:10.13334/j.0258-8013.pcsee.230782
基于气隙磁密差信号峭度因子的永磁同步电机局部退磁故障诊断
Partial Demagnetization Fault Diagnosis of PMSM Based on the Kurtosis of Air-gap Flux Density Difference Signals
摘要
Abstract
A new partial demagnetization fault diagnosis method for permanent magnet synchronous machine(PMSM)is proposed based on the kurtosis of air-gap flux density difference signals.First,the equivalent magnetic circuit(EMC)model of PMSM is established.According to the simplified EMC model,the change of radial air-gap flux density under the main magnetic circuit of each pole after partial demagnetization fault is analyzed.Then,by differentiating the prestored air-gap flux density signals in the no-load state of the healthy motor with the measured air-gap flux density signals in the online state,and calculating its kurtosis,the fault characteristic value is calculated.The maximum of kurtosis value of the difference between the air-gap flux density signal in the no-load state and the air-gap flux density signals under different working conditions of the healthy motor is taken as the reference value.Partial demagnetization is diagnosed according to the fault characteristic value and the reference value.Finally,both the simulation and experimental results validate the effectiveness of the proposed partial demagnetization fault diagnosis method.关键词
永磁同步电机(PMSM)/气隙磁密/等效磁路/峭度因子/局部退磁故障Key words
permanent magnet synchronous machine(PMSM)/air-gap flux density/equivalent magnetic circuit/kurtosis/partial demagnetization fault分类
信息技术与安全科学引用本文复制引用
丁石川,吴振兴,李亚,杭俊,何旺..基于气隙磁密差信号峭度因子的永磁同步电机局部退磁故障诊断[J].中国电机工程学报,2024,44(14):5747-5755,中插26,10.基金项目
国家自然科学基金项目(52177027,52377034) （52177027,52377034）
安徽省重大科技专项资助项目(202203c08020010). Project Supported by National Natural Science Foundation of China(52177027,52377034) （202203c08020010）
Anhui Province Major Science and Technology Project(202203c08020010) （202203c08020010）
