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Comparative case studies on ring gear fault diagnosis of planetary gearboxes using vibrations and acoustic emissions

机译:使用振动和声排放的行星齿轮箱环形故障诊断的比较案例研究

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摘要

The analysis of vibrations and acoustic emissions (AE) are two recognized non-destructive techniques used for machine fault diagnosis. In recent years, the two techniques have been comparatively evaluated by different researchers with experimental tests. Several evaluations have shown that the AE analysis has a higher potential than the vibration analysis for fault diagnosis of mechanical components for certain cases. However, the distance between the AE sensor and the fault is an important factor that can considerably decrease the potential to detect damage and that has not been sufficiently investigated. Moreover, the comparisons have not yet addressed conditions of slow speed that for example are usual for wind turbine gearboxes. Therefore, in this paper we present two comparative case studies that address both topics. Both case studies consider planetary gearboxes with faults in their ring gears. The first case study corresponds to a small planetary gearbox in which the AE and vibration sensors were installed together at two different positions. The second case study corresponds to a full-size wind turbine gearbox in which three pairs of AE and vibration sensors were installed on the outside of the ring gear from a low-speed planetary stage. The results of the evaluations demonstrate the important influence of the distance between sensors and fault. Despite this, the good results from the AE analysis indicate that this technique should be considered as an important complement to the traditional vibration analysis. The main contribution of this paper is comparing AE and vibration analysis by using not only experimental data from a small planetary gearbox but also from a full-size wind turbine gearbox. The comparison addresses the topics of proximity of the sensor to the fault and low-speed conditions.
机译:振动和声发射(AE)的分析是用于机器故障诊断的两种认可的非破坏性技术。近年来,两种技术已经通过实验测试的不同研究人员进行了相对评价。几次评估表明,AE分析具有比机械部件的故障诊断的振动分析更高的潜力。然而,AE传感器之间的距离和故障是可以显着降低检测损坏的可能性并且没有充分研究的重要因素。此外,比较尚未解决慢速的条件,例如通常用于风力涡轮机齿轮箱。因此,在本文中,我们提出了两个对比较的案例研究来解决这两个主题。两种案例研究都认为行星齿轮箱在其环齿轮中具有故障。第一种案例研究对应于小行星齿轮箱,其中AE和振动传感器在两个不同的位置一起安装在一起。第二种情况研究对应于全尺寸风力涡轮机齿轮箱,其中三对AE和振动传感器从低速行星级安装在环形齿轮的外侧。评估结果表明了传感器和故障之间的距离的重要影响。尽管如此,AE分析的良好结果表明,这种技术应被视为传统振动分析的重要补充。本文的主要贡献是通过不仅使用来自小行星齿轮箱的实验数据而且来自全尺寸风力涡轮机齿轮箱进行比较AE和振动分析。比较解决了传感器接近故障和低速条件的主题。

著录项

  • 来源
    《Forschung im Ingenieurwesen》 |2021年第2期|619-628|共10页
  • 作者单位

    Rhein Westfal TH Aachen Inst Adv Min Technol Wullnerstr 2 D-52062 Aachen Germany;

    Rhein Westfal TH Aachen Inst Adv Min Technol Wullnerstr 2 D-52062 Aachen Germany;

    Rhein Westfal TH Aachen Inst Adv Min Technol Wullnerstr 2 D-52062 Aachen Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-19 02:28:16

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