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Impact velocity modelling and signal processing of spur gear vibration for the estimation of defect size

机译:正齿轮振动的冲击速度建模和信号处理,以估计缺陷尺寸

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摘要

Gears are one of the most common elements in any rotating machinery. If gear defect can be assessed, gearbox maintenance schedule can be optimally planned. This paper presents an impact velocity model relating measurable vibration signal to the defect size on the gear tooth flank. The analytical model was verified experimentally. The experimental results support the effectiveness of the analytical model in estimating defect size. In addition, experimental vibration signals were decomposed using empirical mode decomposition (EMD) technique. These decomposed oscillatory functions are called intrinsic mode functions (IMFs). Kurtosis value of selected IMF was calculated for early detection of fault.
机译:齿轮是任何旋转机械中最常见的元素之一。如果可以评估齿轮缺陷,则可以最佳地规划齿轮箱的维护时间表。本文提出了一种冲击速度模型,该模型将可测量的振动信号与齿轮齿侧面的缺陷尺寸相关联。该分析模型已通过实验验证。实验结果支持了分析模型在估计缺陷尺寸方面的有效性。此外,使用经验模式分解(EMD)技术分解实验振动信号。这些分解的振荡函数称为固有模式函数(IMF)。计算所选IMF的峰度值,以便早期发现故障。

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