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国外文献 > 1.轴承 > 5. 监测与诊断 > 状态监测


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标 题: A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size
声发射与振动分析在轴承缺陷识别及缺陷尺寸估算中的比较实验研究
作 者: Abdullah M. Al-Ghamd
David Mba
关键词: Acoustic emission  [声发射]
Bearing defect  [ 轴承缺陷]
Condition monitoring  [ 状态监测]
Defect size  [ 缺陷尺寸]
Vibration analysis  [ 振动分析]
出版年: 2006
期刊名: Mechanical Systems and Signal Processing
机械系统与信号处理
年卷期: 2006, vol.20, no.7
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.

滚动轴承的振动监测可能是旋转机械中最成熟的诊断技术。声发射(AE)在轴承诊断中的应用正逐渐成为一种辅助诊断工具,然而,AE技术成功应用的局限性部分源于对采集数据的处理、解释和分类困难。此外,轴承损伤的程度也一直难以被准确诊断。本文所报告的实验研究聚焦于利用声发射技术检测径向载荷轴承上缺陷的存在及其大小。设计了一套实验测试装置,可在试样轴承的外圈上植入不同尺寸的缺陷。文中还对不同转速和载荷条件下的声发射与振动分析进行了比较。同时,研究了植入缺陷所产生的声发射活动的主要来源。结果表明,与振动分析相比,声发射能够实现更早的故障检测,并具备更高的识别能力。此外,AE技术还能提供缺陷尺寸的指示,使用户能够监测轴承的劣化速率; 通过振动分析无法实现。
中文内容为网络AI翻译,专业术语未必准确,仅供参考。

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