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Comparing MCSA with vibration analysis in order to detect bearing faults ??? A case study

机译:将MCSA与振动分析进行比较,以检测轴承故障???案例研究

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Condition Monitoring on rotating electrical machines has proven to be economically beneficial in the last decades, especially for industrial production processes. Vibration analysis has already become a reliable and commercial tool to perform condition monitoring or predictive maintenance. Stator current analysis, a newer technology that is still being developed can possibly open new perspectives and opportunities in the world of predictive maintenance. This technology is also known as Motor Current Signature Analysis or MCSA. In this paper the advantages and disadvantages of both technologies are listed and compared from a practical point of view, supplemented with a case study. The case study contains a bearing fault detection in an induction machine driven by a frequency converter. The machine drives a fan with varying torque and speed conditions.
机译:在过去的几十年中,旋转电机的状态监测已被证明在经济上是有益的,特别是对于工业生产过程。振动分析已经成为执行状态监视或预测性维护的可靠且商业化的工具。定子电流分析(一种仍在开发中的较新技术)可能会在预测性维护的世界中打开新的视野和机会。该技术也称为电动机电流签名分析或MCSA。本文从实用的角度列出并比较了这两种技术的优缺点,并辅以案例研究。案例研究包含由变频器驱动的感应电机中的轴承故障检测。机器以变化的转矩和速度条件驱动风扇。

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