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基于相对小波能量的滚动轴承故障诊断
引用本文:赵志宏,杨绍普.基于相对小波能量的滚动轴承故障诊断[J].电子测量与仪器学报,2011,25(1):44-49.
作者姓名:赵志宏  杨绍普
作者单位:北京交通大学机械与电子控制工程学院;石家庄铁道大学信息科学与技术学院;
基金项目:国家自然科学基金(编号:10902074)资助项目; 教育部科学技术研究(编号:210023)资助项目; 河北省自然科学基金(编号:E2010001095)资助项目
摘    要:利用相对小波能量作为特征进行滚动轴承故障诊断.首先将滚动轴承振动信号进行离散小波分解,然后利用各频带的相对小波能量作为特征向量,使用支持向量机作为分类器对轴承故障进行分类.针对轴承内圈故障、滚动体故障、外圈故障3种故障及不同损伤程度的实测数据进行多种分类实验,实验结果表明利用相对小波能量作为滚动轴承故障诊断的特征非常有...

关 键 词:小波变换  相对小波能量  故障诊断  支持向量机

Fault diagnosis of roller bearing based on relative wavelet energy
Zhao Zhihong,Yang Shaopu.Fault diagnosis of roller bearing based on relative wavelet energy[J].Journal of Electronic Measurement and Instrument,2011,25(1):44-49.
Authors:Zhao Zhihong  Yang Shaopu
Affiliation:Zhao Zhihong1,2 Yang Shaopu2(1.School of Mechanical,Electronic and Control Engineering,Beijing Jiaotong University,Beijing 100044,China,2.School of Computing and Informatics,Shijiazhuang Tiedao University,Shijiazhuang 050043,China)
Abstract:The relative wavelet energy technique is introduced to roller bearing fault diagnosis in this paper.The original bearing vibration signal is decomposed by discrete wavelet transform.Then the relative wavelet energy is served as feature vector.In the classification,the support vector machine method is used to identify the different faults.Experiments were conducted on roller bearing with three different fault categories and several levels of fault severity.The experimental results indicate that the proposed ...
Keywords:wavelet transform  relative wavelet energy  fault diagnosis  support vector machine  
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