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A novel signal processing method, called sensitive frequency band (SFB) selection, is proposed based on the correlation coefficients between the original signal and its reconstructed approximation and detail parts. By identifying the noised-related and fault-related SFBs, the SFB selection method can be used to reduce noise and extract fault feature effectively for a signal. This method is applied...
Although traditional waveform analysis in time domain plays an important role in realizing engine non-disintegration fault diagnosis, this method fails to make an accurate fault diagnosis when fault waveform and normal waveform are very close. To solve this problem, a new method based on frequency space subdivision (FSS) in wavelet transform (WT) is proposed and applied in this paper. Meanwhile, a...
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