改进的奇异值分解在轴承故障诊断中的应用

被引：40

作者：

王超 ^{[1
]}

孔凡让 ^{[1
]}

黄伟国 ^{[2
]}

李昌林 ^{[1
]}

陈辉 ^{[1
]}

机构：

[1] 中国科学技术大学精密机械与精密仪器系

[2] 苏州大学城市轨道交通学院

来源：

振动工程学报 | 2014年 / 27卷 / 02期

关键词：

故障诊断; 奇异值分解; 包络分析; 轴承; 滤波器;

D O I：

10.16385/j.cnki.issn.1004-4523.2014.02.009

中图分类号：

TH133.3 [轴承]; TH165.3 [];

学科分类号：

082805 [农业机械化与装备工程];

摘要：

滚动轴承是旋转机械设备的重要部件,对滚动轴承的故障诊断研究具有重要的意义。为了从复杂的轴承振动信号中提取有效的故障信息,提出了改进的奇异值分解故障诊断方法。阐述了奇异值分解与包络谱分析的原理,并对轴承振动信号构造Hankel矩阵进行奇异值分解。利用功率谱密度函数构造滤波器提高信号的信噪比,对滤波器处理后的信号再进行奇异值分解和包络分析,并将此方法应用于滚动轴承振动信号分析。实验结果表明:此方法对振动信号故障特征频率的提取效果具有明显优势。

引用

页码：296 / 303

页数：8

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