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Effectiveness of vibration and current monitoring in detecting broken rotor bar and bearing faults in an induction motor

机译:振动和电流监控在检测感应电动机中的转子条和轴承故障中的有效性

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摘要

Induction motors are widely used prime-movers in most of the industrial applications due to its high efficiency, rugged design and easy control. Reliability and availability of induction motors is one of the required parameters in order to reduce down-time of the entire rotating machinery system. Vibration analysis and motor current signature analysis (MCSA) are widely used diagnostic techniques for the detection of various mechanical and electrical faults in induction motors. Major limitation of the MCSA is its inability in detection of faults in induction motors at no load condition. This paper addresses this limitation and proposes a suitable technique for more effective fault detection of an induction motor using vibration spectrum at no load condition. The results have been experimentally tested and validated in an electrical fault simulator set-up for broken rotor bar and bearing faults.
机译:感应电动机具有高效,坚固耐用的设计和易于控制的特性,因此在大多数工业应用中被广泛用作原动机。为了减少整个旋转机械系统的停机时间,感应电动机的可靠性和可用性是必需的参数之一。振动分析和电动机电流信号分析(MCSA)是广泛使用的诊断技术,用于检测感应电动机中的各种机械和电气故障。 MCSA的主要局限性在于它无法在空载条件下检测感应电动机的故障。本文解决了这一局限性,并提出了一种适合的技术,该技术可以利用空载条件下的振动谱更有效地检测感应电动机的故障。该结果已通过电气故障模拟器设置进行了实验测试和验证,以解决转子条和轴承故障的问题。

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