Diagnosis of bearing defects by variational modes decomposition from vibratory and acoustic emission measurements

Q4 Engineering
Djamal Zarour, M. Thomas, S. Meziani
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引用次数: 2

Abstract

In order to improve the diagnosis of bearing defects, a new method called variational mode decomposition (VMD) is proposed. This research shows an experimental application for the detection of bearing defects at two stages of degradation: at the early stage and at an advanced stage. In this work, a comparative experimental study between vibratory and acoustic emission measurements, analysed by VMD, is carried out. However, the application of this method requires determining the number of significant frequencies (K) and a balancing parameter (α). For this purpose, the operational modal analysis (OMA) and a correlation study are used to determine the required parameters K and α. The results show that both measurement methods work well to detect the bearing frequencies, but the vibration measurement was more sensitive for an early detection.
基于振动和声发射测量的变分模态分解诊断轴承缺陷
为了提高轴承缺陷的诊断精度,提出了一种变分模态分解(VMD)方法。本研究展示了在两个退化阶段检测轴承缺陷的实验应用:早期阶段和晚期阶段。在这项工作中,对振动和声发射测量进行了比较实验研究,并进行了VMD分析。然而,这种方法的应用需要确定有效频率的数量(K)和平衡参数(α)。为此,使用操作模态分析(OMA)和相关性研究来确定所需的参数K和α。结果表明,两种测量方法都能很好地检测轴承频率,但振动测量对早期检测更为敏感。
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来源期刊
International Journal of Vehicle Noise and Vibration
International Journal of Vehicle Noise and Vibration Engineering-Automotive Engineering
CiteScore
0.90
自引率
0.00%
发文量
17
期刊介绍: The IJVNV has been established as an international authoritative reference in the field. It publishes refereed papers that address vehicle noise and vibration from the perspectives of customers, engineers and manufacturing.
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