| 基于EMD的滚动轴承故障特征提取方法 |
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| 引用本文： | 夏均忠,苏涛,马宗坡,冷永刚,白云川. 基于EMD的滚动轴承故障特征提取方法[J]. 噪声与振动控制, 2013, 33(2): 123-127. DOI: 10.3969/j.issn.1006-1335.2013.02.028 |
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| 作者姓名： | 夏均忠 苏涛 马宗坡 冷永刚 白云川 |
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| 作者单位： | （ 1. 军事交通学院 汽车工程系， 天津 300161；2. 天津大学 机械工程学院， 天津 300072 ） |
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| 摘 要： | 故障特征提取是滚动轴承故障诊断的关键环节。首先系统研究经验模式分解方法；然后介绍在经验模式分解基础上提出的几种方法，包括：希尔伯特-黄变换，局域均值分解以及集合经验模态分解。分析各种方法的基本原理、应用和特点。EMD与多种故障特征提取方法相结合是轴承故障特征提取的研究方向。
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| 关 键 词： | 振动与波 滚动轴承 故障特征提取 经验模式分解 希尔伯特―黄变换 局域均值分解 集合经验模态分解 |
| 收稿时间： | 2012-06-11 |
Fault Feature Extraction Methods of Ball Bearings Based on EMD |
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| SU Tao. Fault Feature Extraction Methods of Ball Bearings Based on EMD[J]. Noise and Vibration Control, 2013, 33(2): 123-127. DOI: 10.3969/j.issn.1006-1335.2013.02.028 |
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| Authors: | SU Tao |
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| Abstract: | Ball bearing fault feature extraction is the key link in its fault diagnosis．In this paper, First introduced the Empirical Mode Decomposition method; then introduced several methods based on the Empirical Mode Decomposition such as the Hilbert-Huang Transform ,the Local Mean Decomposition and the method of Ensemble Empirical Mode Decomposition. The basic principles and characteristics of these methods were analyzed. The integration use of the multi-sensor data and a variety of feature extraction methods is the focus of future research directions. |
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