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Motor Current Signature Analysis-based Non-invasive Recognition of Mixed Eccentricity Fault in Line Start Permanent Magnet Synchronous Motor
Electric Power Components and Systems ( IF 1.5 ) Pub Date : 2021-06-30 , DOI: 10.1080/15325008.2021.1937386
Mahdi Karami 1 , Norman Bin Mariun 2, 3 , Mohd Zainal Abidin Ab-Kadir 2 , Norhisam Misron 2 , Mohd Amran Mohd Radzi 2
Affiliation  

Abstract—

In this study, a cost-effective and non-invasive detection strategy is proposed for three-phase line start permanent magnet synchronous motor (LSPMSM) under mixed eccentricity fault using motor current signature analysis. In this respect, theory of air gap magnetic field in eccentric LSPMSM is presented. The detection strategy is examined through modeling and experimental studies. Two-dimensional time stepping finite element method is employed to calculate the motor parameters. Effects of mechanical load and fault severity on eccentric LSPMSM are also investigated. Different fault-related components are scrutinized and the most effective features are identified for this new type of electrical motor. The results indicate that amplitudes of fault-related components at rotor frequency are precise for early detection of mixed eccentricity in LSPMSM. Finally, an efficient frequency pattern as well as detection criterion is specified.



中文翻译:

基于电机电流特征分析的线启动永磁同步电机混合偏心故障无创识别

摘要-

在这项研究中,使用电机电流特征分析提出了一种在混合偏心故障下的三相线路启动永磁同步电机 (LSPMSM) 的成本效益和非侵入性检测策略。在这方面,提出了偏心LSPMSM中气隙磁场的理论。通过建模和实验研究来检查检测策略。采用二维时间步长有限元法计算电机参数。还研究了机械负载和故障严重程度对偏心 LSPMSM 的影响。对与故障相关的不同组件进行了仔细检查,并确定了这种新型电动机的最有效特征。结果表明转子频率下故障相关分量的幅度对于早期检测 LSPMSM 中的混合偏心是精确的。

更新日期:2021-08-09
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