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The experiment research shows that as the crank bearing gradually wears the relative energy contents of low-frequency bands slightly reduce and these of high-frequency bands greatly increase. The relative energy distribution of frequency bands of vibration signal provides the quantitative evidence to the identification of the crank bearing wear fault. So the feature extraction of wavelet packet energy...
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