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- 2014-05-28
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- 侯蒙蒙
Description: In view of the above situation, a new fault diagnosis
method is proposed based on dual-tree complex wavelet packet transform and threshold de-noising. Firstly, the
non-stationary fault signal is decomposed into several different frequency band components through dual-tree
complex wavelet packet decomposition. Secondly, Kurtosis and the cross-correlation coefficient of each
component are obtained and compared. Due to the kurtosis reflecting the signal variations, if the kurtosis value is
bigger, the degree of the change of signal is bigger too. The correlation coefficient can reflect the proximity
between the component and the original signal at the same time, the correlation coefficient is bigger, the more
similar with the original signal. Finally, the components that have a bigger value are chosen to be de-noised by a
soft threshold and reconstructed by dual-tree complex wavelet packet transform. The noise interference was
eliminated effectively, and the effective si
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