基于磁通分布的交流感应电机故障诊断数值研究

Linfeng Li, Yating Yu, Qin Hong, Zhenwei Wang
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引用次数: 2

摘要

交流感应电机广泛应用于电伺服驱动、信息处理、交通运输等领域。然而,意外故障会对设备的正常运行和操作人员的安全造成严重威胁。因此,及时诊断故障是保证交流感应电机在健康状态下工作的有效途径。在交流感应电机中,磁场是电机能量转换的基础,故障直接影响到电机的电磁场分布。本文基于有限元法,利用COMSOL Multiphysics软件建立了交流鼠笼异步感应电机的二维数值模型;然后,对工程中常见的三种故障情况下交流感应电动机的磁通分布进行了仿真。在数值模拟的基础上,详细讨论了不同故障对磁分布的影响。研究有助于找到一种感应电机的无损故障诊断方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical Investigation on Faults Diagnosis for AC Induction Machine by Magnetic Flux Distribution
AC induction machines are widely used in electric servo drive, information processing, transportation and other fields. However, the unexpected faults cause the serious threat for the normal operation and operator’s safety. Therefore, timely faults diagnosis is an effective way to ensure the AC induction machines to work in health condition. In AC induction machines, magnetic field is the basis of energy conversion of motor, and the faults have the directly influence on the electromagnetic field distribution. In this paper, 2D numerical model of the AC squirrel-cage asynchronous induction machine is built by using COMSOL Multiphysics according to finite element method; Then, the magnetic flux distribution of AC induction motor with three different faults which commonly occurs in engineering are simulated. Base on the numerical simulation, the influence of the different faults on the magnetic distribution is discussed in detail. The investigation is beneficial to find a nondestructive fault diagnosis approach to the induction machine.
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