An Improved HHT Method and its Application in Fault Diagnosis of Roller Bearing
2013 ◽
Vol 273
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pp. 264-268
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Keyword(s):
Hilbert-Huang transform (HHT) is a very effective time-frequency analysis method, but it has some disadvantages. For example, the dense modal signal cannot be decomposed completely, and redundancy intrinsic mode functions (IMFs) are easy emerging at low frequency, which will cause the distortion of the processing results. In view of the above questions, this study applies the wavelet packet transform for denoising before HHT for improving the dense modal problem, and applies the correlation coefficient method to eliminate the redundancy IMF. The fault diagnostic case of roller bearing shows the effectiveness of the proposed method.
2013 ◽
Vol 336-338
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pp. 928-931
2015 ◽
Vol 724
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pp. 238-241
Keyword(s):
2011 ◽
Vol 255-260
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pp. 1671-1675
Keyword(s):
2020 ◽
pp. 107754632094971
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