A fault feature extraction algorithm based on CEEMD-TVD-MOMEDA
Rolling bearings are indispensable key components in mechanical equipment, and they are also one of the most easily damaged components. To solve the problem of bearing fault feature extraction under strong noise interference, a combination of complementary ensemble average empirical mode decomposit...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Tamkang University Press
2021
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| Accès en ligne: | https://doaj.org/article/fa15a986bad5459a8d6206ee871d9d29 |
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