A novel synergistic diagnostic scheme for planetary gearboxes based on an analytical vibration model of planetary gear-sets

Liu Hong, Yongzhi Qu, J. Dhupia, Yuegang Tan
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引用次数: 2

Abstract

The condition monitoring system of gearboxes usually employs accelerometers fixed on the gear housing to diagnose the gear damage. Such diagnostic system is essential in scheduling the maintenance of drive-trains. However, the successful application of vibration based diagnostic techniques for planetary gearboxes is still challenging because of the complexities of the sideband behaviors in the measured vibration signal, which is a result of the revolution of the planets around the sun gear. Moreover, the performance of diagnostic techniques may further deteriorate since the measured vibration signals are often contaminated by the noise. Therefore, it is essential to develop a diagnostic scheme for extracting the fault signatures in planetary gear-sets. This paper begins with the summary of an analytical model of the planetary gear-sets developed by the authors that describes the characteristic behaviors of the fault introduced sidebands of the vibration spectrum picked by the fixed vibration sensor. This analytical model, which predicts the frequency components of planetary gear-sets, is easy to implement because the only prerequisite information is the basic geometry of the planetary gearbox. Afterwards, a novel vibration based diagnostic scheme for planetary gear-sets is developed. Its performance is then validated using simulated vibration signals generated from a dynamic model of the planetary gearbox. The proposed diagnostic scheme integrates the analytical vibration model, a de-noising algorithm and a frequency-domain indicator into one synergistic system for the early detection of damaged gear teeth in planetary gear-sets.
基于行星齿轮组解析振动模型的行星齿轮箱协同诊断新方案
齿轮箱状态监测系统通常采用安装在齿轮箱上的加速度计来诊断齿轮损坏。这种诊断系统在安排传动系统的维修保养中是必不可少的。然而,基于振动诊断技术在行星齿轮箱中的成功应用仍然具有挑战性,因为测量振动信号的边带行为的复杂性,这是行星围绕太阳齿轮旋转的结果。此外,由于被测振动信号经常受到噪声的污染,诊断技术的性能可能会进一步下降。因此,开发一种行星齿轮组故障特征提取诊断方案是十分必要的。本文首先总结了作者建立的行星齿轮组的解析模型,该模型描述了固定振动传感器采集的振动谱中引入的故障侧带的特征行为。该分析模型预测了行星齿轮组的频率分量,易于实现,因为唯一的前提信息是行星齿轮箱的基本几何形状。在此基础上,提出了一种基于振动的行星齿轮组诊断方案。然后利用行星齿轮箱动力学模型产生的模拟振动信号验证了其性能。提出的诊断方案将解析振动模型、降噪算法和频域指示器集成到一个协同系统中,用于行星齿轮组齿轮齿损伤的早期检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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