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A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size

机译:使用声发射和振动分析进行轴承缺陷识别和缺陷尺寸估计的对比实验研究

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摘要

Vibration monitoring of rolling element bearings is probably the most established diagnostic technique for rotating machinery. The application of acoustic emission (AE) for bearing diagnosis is gaining ground as a complementary diagnostic tool, however, limitations in the successful application of the AE technique have been partly due to the difficulty in processing, interpreting and classifying the acquired data. Furthermore, the extent of bearing damage has eluded the diagnostician. The experimental investigation reported in this paper was centred on the application of the AE technique for identifying the presence and size of a defect on a radially loaded bearing. An experimental test rig was designed such that defects of varying sizes could be seeded onto the outer race of a test bearing. Comparisons between AE and vibration analysis over a range of speed and load conditions are presented. In addition, the primary source of AE activity from seeded defects is investigated. It is concluded that AE offers earlier fault detection and improved identification capabilities than vibration analysis. Furthermore, the AE technique also provided an indication of the defect size, allowing the user to monitor the rate of degradation on the bearing; unachievable with vibration analysis.
机译:滚动轴承的振动监测可能是旋转机械最成熟的诊断技术。声发射(AE)在轴承诊断中的应用作为一种辅助的诊断工具正在获得发展,但是,声发射技术成功应用的局限性部分是由于难以处理,解释和分类所采集的数据。此外,轴承损坏的程度还无法诊断。本文报道的实验研究集中在AE技术的应用上,以识别径向载荷轴承上缺陷的存在和大小。设计了一个试验测试台,以便可以将各种尺寸的缺陷植入到测试轴承的外圈上。提出了在一定速度和负载条件下自动曝光和振动分析之间的比较。此外,研究了种子缺陷引起的AE活动的主要来源。结论是,与振动分析相比,AE提供了更早的故障检测和改进的识别能力。此外,自动曝光技术还提供了缺陷尺寸的指示,使用户可以监控轴承的退化率。振动分析无法实现。

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