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在多种干扰因素下具有复合故障特征的滚动轴承的振动特性。

Vibration characterization of rolling bearings with compound fault features under multiple interference factors.

机构信息

Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, 150080, China.

School of Mechanical Engineering, Tongji University, Shanghai, 201804, China.

出版信息

PLoS One. 2024 Feb 12;19(2):e0297935. doi: 10.1371/journal.pone.0297935. eCollection 2024.

Abstract

As a key component of rotating machinery power transmission system, rolling bearings in gas turbines are often required to serve in complex working conditions such as the high speed, the heavy load, the variable load, the variable rotational speed, and so on. The signals of bearing failures are easily drowned out by strong background noise and disturbances of related components. In the mechanical transmission system, the signals of bearing failures are easily submerged by the strong background noise and the disturbance of related components, especially for the composite bearing failures, which seriously hinders the effective identification of the vibration characteristics of the bearing operating state and increases the difficulty of fault diagnosis. In order to investigate the impact of interference on the bearing, through the establishment of rolling bearing composite fault vibration model, analyze the relationship between the vibration signals caused by different types of bearing failures and the corresponding vibration characteristics, to reveal the transmission system of the parts of the perturbation of the main multi-interference factors on the bearing fault signal influence law. The experimental verification shows that disturbance yp(t) caused by the sum of gear meshing frequency, and installation errors of the shaft, and coupling in the transmission system and background noise ni(t), which makes the fault frequency relatively weak and difficult to observe, and makes it difficult to accurately separate the fault information of the bearing. It provides a theoretical basis to solve the problem of damage identification and fault diagnosis of rolling bearings under multi-interference state.

摘要

作为旋转机械动力传动系统的关键组成部分,燃气轮机中的滚动轴承通常需要在高速、重载、变载、变速等复杂工作条件下运行。轴承故障信号很容易被强背景噪声和相关部件的干扰淹没。在机械传动系统中,轴承故障信号很容易被强背景噪声和相关部件的干扰所淹没,特别是对于复合轴承故障,这严重阻碍了对轴承运行状态振动特性的有效识别,增加了故障诊断的难度。为了研究干扰对轴承的影响,通过建立滚动轴承复合故障振动模型,分析不同类型轴承故障所产生的振动信号与相应的振动特征之间的关系,揭示传动系统中各部件对轴承故障信号的主要多干扰因素的扰动影响规律。实验验证表明,由齿轮啮合频率、轴安装误差和联轴器在传动系统中的总和以及背景噪声 ni(t) 引起的干扰 yp(t) 使得故障频率相对较弱且难以观察,从而难以准确分离轴承的故障信息。它为解决多干扰状态下滚动轴承的损伤识别和故障诊断问题提供了理论依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/149d/10861060/925d902dbecd/pone.0297935.g001.jpg

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