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On the application of envelope-wavelet analysis in the fault diagnosis of rolling bearing

In this paper, the fault mechanism and vibration characteristics of typical faults of rolling bearing are analyzed. In order to increase the signal noise ratio, an approach to extract fault features from their vibrations with envelope analysis and orthogonal decomposition of wavelet is presented, where envelope analysis is used as the preprocessing of the decomposition. In addition, a novel rolling bearing fault diagnosis method is successfully applied. The results show that this method is suitable for detection and diagnosis of the rolling bearing.