用静止试验检测感应电机异常

A. MpandaMabweBadileshi, D. Cristian, G. Capolino, H. Henao
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引用次数: 2

摘要

本文的主要课题是研究通过静止试验检测异步电动机转子故障的可行性。通过分析电流谱和磁通传感器捕获的色散磁通,我们证明了用特殊的激励信号(离散间隔二进制序列(DIBS)和多重正弦)来激励机器,可以以低频率分辨率激励故障模式。所提出的方法是通用的,可应用于感应电机在旋转或静止时。它基于宽带激励信号,能够激励被测设备的故障模式。在正常和故障机器上进行实验测量,比较得出通量和电流机器特征的差异,这基本上是最常用的故障检测方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of induction machines anomalies using stand-still tests
The main topic of this paper is to examine the feasibility of detecting the rotor defaults of induction motors by performing stand-still tests. We show that feeding the machine with special excitation signals (discrete interval binary sequence (DIBS) and multisine), it is possible to excite with low frequency resolution the faulty modes by analyzing the current spectrum and the dispersion flux captured by a flux sensor. The method presented is general and may be applied to the induction machine whilst in rotation or at standstill. It is based on broadband excitation signals which are able to excite the faulty modes of devices under tests. Experimental measurements are made both on healthy and faulty machines and the comparison gives a difference in the flux and current machine signatures which is basically the most commonly used method of fault detection.
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