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Rolling bearing fault analysis and wavelet thresholding research

机译:滚动轴承故障分析与小波阈值研究

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摘要

The causes of bearing fault and frequency changes are analyzed. The actual bearing fault signals are analyzed by wavelet and signal noise are reduced by three wavelet thresholding model. Bearing noise reduction effective way is obtained with three wavelet thresholding model comparison, and frequency analysis of signal is made in order to get bearing characteristic value.
机译:分析了轴承故障和频率变化的原因。通过小波分析实际的轴承故障信号,并通过三种小波阈值模型降低信号噪声。通过三个小波阈值模型的比较,获得了轴承降噪的有效途径,并对信号进行了频率分析,以获得轴承特征值。

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