基于VMD和SGW的滚动轴承故障诊断新方法

IF 0.6 4区 工程技术 Q4 MECHANICS
Mechanika Pub Date : 2022-04-15 DOI:10.5755/j02.mech.28531
B. Toufik
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引用次数: 2

摘要

具有强非平稳特性的轴承振动信号通常由多个分量组成,使得在强噪声背景下提取滚动轴承振动信号的特征故障特征变得复杂,如何有效地解决这一问题是我们研究的重点。因此,本文提出了一种基于变分模式分解(VMD)和第二代小波(SGW)的新方案。首先,VMD可以准确、自适应地将复杂的多分量信号分解为一组具有窄带特性的IMF分量。其次,在峰度和互相关分析的基础上,选择VMD获得的最佳信号分量对分析信号进行滤波和重构。然后,使用(SGW)方法来消除强噪声背景,并在最优IMF分量中增强周期性影响。最后,利用重构信号的包络谱可以得到准确的特征缺陷频率。通过对轴承外座圈、内座圈和滚动体故障振动信号的分析,验证了该方法的成功性。结果表明,该方案在提取轴承故障特征方面是可行和有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Method for Rolling Bearing Fault Diagnosis Based on VMD and SGW
The bearing vibration signal with strong non-stationary properties is generally composed of multiple components making it complicated to extract the characteristic fault features of vibration signals of rolling bearings under the background of strong noise, how to solve this problem effectively is the focus of our research. Therefore, a new scheme based on Variational Mode Decomposition (VMD) and second-generation wavelet (SGW) is proposed in this paper. Firstly, VMD can decompose accurately and adaptively a complex multi-component signal into a set of IMF component with narrow band properties.Secondly, on the basis of kurtosis and cross-correlation analysis, the optimum signal components obtained by the VMD are selected to filter and to reconstruct the analysis signal. Then, (SGW) approach is used to eliminate the strong noise background and enhance the periodic impact in the optimum IMF components. Lastly, the accurate characteristic defect frequency can be obtained by using envelope spectrum of the reconstructing signal. The success of the proposed approach is verified by analysis the vibration signals of bearings with an outer race, an inner race and a rolling element faults, respectively. The results indicate that the scheme is feasible and useful for extracting the bearings fault features.
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来源期刊
Mechanika
Mechanika 物理-力学
CiteScore
1.30
自引率
0.00%
发文量
50
审稿时长
3 months
期刊介绍: The journal is publishing scientific papers dealing with the following problems: Mechanics of Solid Bodies; Mechanics of Fluids and Gases; Dynamics of Mechanical Systems; Design and Optimization of Mechanical Systems; Mechanical Technologies.
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