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国外文献 > 1.轴承 > 2. 轴承类型与部件 > 滚动轴承

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标 题： A bearing dynamic model based on novel Gaussian-filter waviness characterizing method for vibration response analysis
基于新颖高斯滤波波纹特征方法的轴承动力学模型在振动响应分析中的应用
作 者： Minmin Xu
Dexing Miao
Yu Gao
Rong Yang
Fengshou Gu
Yimin Shao
关键词： Rolling element bearing  [滚动轴承]
Waviness characterization  [ 波纹特性分析]
Gaussian filter  [ 高斯滤波器]
Bearing dynamic model  [ 轴承动态模型]
出版年： 2024
期刊名： Tribology International
摩擦学国际
年卷期： 2024, vol.194
摘 要： Bearing waviness is a kind of geometric unevenness on the surface of bearing components, which has vital influence on lifetime, vibration and noise. In order to accurately evaluate the impact of waviness on bearing operating performance and diagnostic features, it is necessary to reveal the mapping relationship between waviness excitation and vibration characteristics. However, current simulated waviness when modeling bearing vibrations is usually simplified by a uniform or non-uniform sinusoidal function, which cannot characterize the real topography of bearing waviness and lead to inaccuracy of diagnostics and prognostics. To address this issue, a novel waviness characterizing method based on Gaussian filter is developed in this study. Based on the proposed waviness characterizing method, a bearing waviness dynamic model is developed and vibration responses under various amplitude and order of waviness are investigated by simulation and experiment. Results show that the established waviness characterizing method can generate waviness curves closer to the actual shape. The bearing waviness dynamic model and the based vibration responses reveals unusual random phenomenon due to different waviness effects. These findings provide theoretical support for accurate identification of waviness on vibration characteristics, which has great significance on condition monitoring and fault diagnosis of bearing.

轴承波纹是轴承部件表面的一种几何不平度，对轴承寿命、振动和噪声具有重要影响。为了准确评估波纹对轴承运行性能及诊断特征的影响，有必要揭示波纹激励与振动特性之间的映射关系。然而，在建模轴承振动时，当前常用的仿真波纹通常采用均匀或非均匀正弦函数进行简化，无法真实反映轴承波纹的几何形状，从而导致诊断和预测结果的不准确。为解决这一问题，本研究提出了一种基于高斯滤波器的新颖波纹表征方法。基于该方法，建立了轴承波纹动态模型，并通过仿真与实验研究了不同振幅和阶数下波纹的振动响应。结果表明，所建立的波纹表征方法能够生成更接近实际形状的波纹曲线。轴承波纹动态模型及基于振动响应的分析揭示了由于不同波纹效应引起的异常随机现象。这些发现为准确识别振动特性中的波纹提供了理论依据，对轴承的状态监测和故障诊断具有重要意义。
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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