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Vibration signature analysis of distributed defects in ball bearing using wavelet decomposition technique

机译:小波分解技术滚珠轴承分布缺陷的振动特征分析

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The analysis of vibration signals acquired from a ball bearing with an extended type of distributed defects is carried out using wavelet decomposition technique. The influence of artificially generated defect and its location on outer and inner race of the ball bearing is observed using vibration data acquired from bearing housing. The comparison of diagnostic information from fast Fourier transform and time frequency decomposition method is made for inner and outer race of ball bearing with single as well as multiple extended defects. To decompose vibration signal acquired from bearing, db04 wavelet technique was implemented. It is observed that impulses appear with a time period corresponding to characteristic defect frequencies. The results observed from wavelet decomposition technique and fast Fourier transform reveal that the characteristic defect frequency is quite consistent even with change in location of defect. The extended type of distributed defects in the ball bearings can also be effectively diagnosed with the help of wavelet decomposition technique and fast Fourier transform.
机译:利用小波分解技术进行从具有扩展类型的分布缺陷的滚珠轴承获取的振动信号的分析。使用从轴承壳体获取的振动数据观察人工产生的缺陷及其位置在滚珠轴承的外部和内圈上观察。从快速傅立叶变换和时频分解方法的诊断信息的比较是为滚珠轴承的内部和外圈的单一以及多个延长缺陷。为了分解轴承获取的振动信号,实现了DB04小波技术。观察到,脉冲出现在对应于特征缺陷频率的时间段。从小波分解技术和快速傅里叶变换中观察到的结果表明,即使在缺陷位置的变化也是相当一致的特征缺陷频率。在小波分解技术和快速傅里叶变换的帮助下,也可以有效地诊断滚珠轴承中的分布式缺陷。

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