Detection of airgap asymmetry in induction machines with different pole pair number using the current step response

T. Wolbank, P. Macheiner
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引用次数: 8

Abstract

In the past years the incident of fault conditions in modern drives has increased. One reason for that loss of reliability is the fast switching of the power electronics applied that puts additional stress to all components of the machine. Besides the stator isolation breakdown and the rotor bar defect the degradation of the bearings has been given increased attention recently from both industry and academia. Bearing defect is the most frequent source of a drive breakdown and at the same time this type of defect is the most difficult to detect. Monitoring methods based on frequency analysis like fourier or wavelet transform are facing problems with the additional harmonics introduced by the inverter, the load, as well as the high dynamic control of the machine itself that have to be separated from the harmonics induced by the bearing defect. In this paper an online method based on the time step response of the machine current is investigated and the influence of the pole pair number on the resulting fault indication signal is discussed. In a machine with one pole pair, eccentricity leads to very distinct changes in the offset values of the resulting signal caused by a change in the phase values of the leakage inductances. This effect diminishes with increasing pole pair number making it necessary to identify other indicators. This other indicators are found in the signal components linked to the slotting of the machine. Their magnitude is increased by a factor 3-4 making it suitable to determine the airgap eccentricity of the machine. Measurement results on machines with different pole pair numbers specially manufactured to accurately change and measure the airgap are presented and evaluation methods to detect defect bearings at different types of machines are suggested.
利用电流阶跃响应检测不同极对数感应电机气隙不对称性
在过去的几年中,现代传动中的故障情况有所增加。可靠性下降的一个原因是电力电子设备的快速切换给机器的所有组件带来了额外的压力。除定子隔离击穿和转子棒缺陷外,轴承的退化问题近年来越来越受到工业界和学术界的关注。轴承缺陷是驱动故障最常见的来源,同时这种类型的缺陷也是最难检测的。基于傅立叶或小波变换等频率分析的监测方法面临着由逆变器、负载以及机器本身的高动态控制引入的附加谐波的问题,这些谐波必须与轴承缺陷引起的谐波分离。本文研究了一种基于电机电流时阶响应的在线方法,并讨论了极对数对故障指示信号的影响。在单极对的机器中,由于漏电感的相位值发生变化,偏心会导致产生的信号的偏置值发生非常明显的变化。这种影响随着极对数的增加而减弱,因此有必要确定其他指标。这其他指标是在连接到机器开槽的信号组件中发现的。它们的大小增加了3-4倍,使其适合于确定机器的气隙偏心。介绍了为精确改变和测量气隙而专门制造的不同极对数机器上的测量结果,并提出了在不同类型机器上检测缺陷轴承的评价方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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