Time-domain bearing condition monitoring in induction motors using instantaneous frequency of motor voltage

Fardin Dalvand, Asadollah Kalantar, Shoresh Shokoohi, H. Bevrani
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引用次数: 10

Abstract

Bearings are important components in induction motors. Bearing failures are actually the most frequent failures in this type of machines. Utilizing electrical signals and eliminating signals such as vibration is essential to reduce the cost of condition monitoring schemes of electrical machines in industry. In this paper, the instantaneous frequency of motor voltage is introduced to monitor bearings condition. By using this signal, for instance, the global kurtosis and crest factor are able to detect bearing defects in time-domain. In this work, envelope analysis of vibration signal is used to verify the existence of bearing defects. Experimental results show the effectiveness of the proposed bearing condition monitoring method.
利用电机电压瞬时频率对异步电机轴承状态进行时域监测
轴承是感应电动机的重要部件。轴承故障实际上是这类机器中最常见的故障。利用电信号和消除振动等信号是降低工业电机状态监测方案成本的必要手段。本文引入电机电压瞬时频率来监测轴承状态。例如,利用该信号的全局峰度和波峰因子可以在时域内检测轴承缺陷。在这项工作中,使用振动信号的包络分析来验证轴承缺陷的存在。实验结果表明了所提出的轴承状态监测方法的有效性。
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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