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Monitoring of journal bearing faults based on motor current signature analysis for induction motors

机译:基于感应电动机的电动机电流信号分析的轴颈轴承故障监测

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摘要

Most of the failures in oil-lubricated journal bearings are associated with mechanical instabilities produced by lubrication system problems or bearing wear, and result in increased shaft vibration. Therefore, monitoring of the journal bearing condition in the field mainly relies on analysis of proximity probe or accelerometer signals. However, not all motors with journal bearings are equipped with such mechanical sensors due to cost or environmental restrictions. In this paper, the feasibility of applying motor current signature analysis (MCSA) for remote monitoring of mechanical instabilities in journal bearings produced by oil whirl and bearing clearance problems, is evaluated. In addition, a small-scale journal bearing test setup that can be implemented in low voltage motors for testing journal bearing faults under controlled conditions, is presented. An experimental study on a sealless fuel pump motor operating in the field, and on the custom-built journal bearing motor test setup shows that MCSA is capable of providing remote monitoring of journal bearing oil whirl and increased clearance for potentially preventing motor failure. The results of vibration analysis are also presented for comparative evaluation.
机译:油润滑轴颈轴承的大多数故障与润滑系统问题或轴承磨损产生的机械不稳定性有关,并导致轴振动增加。因此,在现场监视轴颈轴承状况主要取决于对接近探针或加速度计信号的分析。但是,由于成本或环境限制,并非所有带有轴颈轴承的电动机都配备了此类机械传感器。在本文中,评估了应用电动机电流特征分析(MCSA)来远程监测由油涡动和轴承游隙问题引起的轴颈轴承机械不稳定性的可行性。另外,提出了一种可在低压电动机中实施的小型轴颈轴承测试装置,用于在受控条件下测试轴颈轴承故障。对在现场运行的无密封燃油泵电机以及定制的轴颈轴承电动机测试装置进行的实验研究表明,MCSA能够提供对轴颈轴承油涡流的远程监控,并提供更大的间隙以潜在地防止电动机故障。还提供了振动分析的结果以进行比较评估。

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